BibTeX Entry

@unpublished{Makino:1996:Zfj,
author = {牧野 貴樹 and 丹羽 容輔 and 長井 歩},
yomi = {Takaki Makino and Yousuke Niwa and Ayumu Nagai},
title = {{AP}-1000+ による高速フーリエ変換の実装},
note = {並列処理シンポジウム主催 第3回並列処理ソフトウェアコンテスト優勝者 (早稲田大学国際会議場にて口頭発表)},
year = 1996,
month = jun
}
@misc{Makino:1997a:Drfj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {高速な素性構造抽象機械の実現},
howpublished = {卒業論文、東京大学理学部情報科学科},
year = 1997,
note = {(英語)},
abstract = {本研究では Carpenter らにより基本的骨格が提案された素性構造抽象機械につ いて述べる。自然言語処理や、人工知能などの分野で使用される素性構造は、 従来は Prolog 等の論理型言語で、言語に組み込みの単一化ルーチン を使用して処理されることが一般的であった。素性構造抽象機械では、素性構造 をあらかじめ単一化手順として抽象機械の命令列に変換しておくことで、単一化 を、抽象機械上の命令実行という効率の高い形で行うことができる。本研究では、 実際に実装した素性構造抽象機械に対して命令セットやコンパイル方法の拡張を 行い、より高い効率を追求した。また、他の実装系とのパフォーマンスの比較も 行った。}
}
@inproceedings{Makino:1997b:Qfj,
title = {素性構造抽象機械と部分的単一化の実現},
author = {牧野 貴樹 and 西田 健二 and 鳥澤 健太郎 and 辻井 潤一},
yomi = {Takaki Makino and Kenji Nishida and Kentaro Torisawa and {Jun-ichi} Tsujii},
year = 1997,
booktitle = {言語処理学会第3回年次大会発表論文集},
pages = {193$\,$--$\,$196},
address = {京都市},
}
@inproceedings{Makino:1997c:Ofr,
author = {Takaki Makino and Kentaro Torisawa and {Jun-ichi} Tsujii},
title = {{LiLFeS} --- Practical Programming Language For Typed Feature Structures},
pages = {239$\,$--$\,$244},
booktitle = {Proceedings of the 4th {N}atural {L}anguage {P}rocessing {P}acific {Rim} {S}ymposium},
year = 1997,
address = {Phuket, Thailand},
abstract = {This paper describes LiLFeS, an integrated unification-based programming system for linguistic formalisms based on typed feature structures, such as HPSG. The core engine of LiLFeS is an abstract machine developed for efficient handling of typed feature structures. Its basic design and optimization techniques are described. Performance comparisons between LiLFeS and other systems for typed feature structures show that LiLFeS is more than 50 times faster than ALE, and competitive to ProFIT.}
}
@inproceedings{Nishida:1997:Ofr,
author = {Nishida, Kenji and Makino, Takaki and Torisawa, Kentaro and Tateisi, Yuka and Tsujii, {Jun-ichi}},
title = {Extension of a Feature Structure Abstract Machine for Partial Unification},
booktitle = {Proceedings of the Conference of {P}acific {A}ssociation for {C}omputational {L}inguistics ({PACLING} '97)},
pages = {232$\,$--$\,$243},
year = 1997,
address = {Ohme, Japan},
abstract = { This paper describes an extension of a feature structure abstract machine for supporting partial unification, which is used in an efficient parsing algorithm for HPSG proposed by Torisawa et al. An abstract machine for attribute-value logics, a framework for processing typed feature structures proposed by Carpenter and Qu, is not only efficient but also easily extendable. We extended the abstract machine for partial unification by only adding a set of instructions to the machine. By combining this technique with the pre-computation of possible feature structures, efficiency of HPSG parsing is improved. We also show the feasibility of our implementation by a series of experiments. }
}
@inproceedings{Tateisi:1997:Qj,
author = {建石 由佳 and 鳥澤 健太郎 and 牧野 貴樹 and 西田 健二 and 渕上 正睦 and 辻井 潤一},
yomi = {Yuka Tateisi and Kentaro Torisawa and Takaki Makino and Kenji Nishida and Masachika Fuchigami and {Jun-ichi} Tsujii},
title = {{LTAG} 文法からの変換による {HPSG} 英文法の生成},
booktitle = {情報処理学会 自然言語処理研究会 研究報告 NL-122},
pages = {119$\,$--$\,$126},
year = 1997,
}
@inproceedings{Makino:1998:Orfx,
title = {{LiLFeS} --- Towards a Practical {HPSG} Parser},
author = {Takaki Makino and Minoru Yoshida and Kentaro Torisawa and {Jun-ichi} Tsujii},
year = 1998,
booktitle = {Proceedings of the 17th {I}nternational {C}onference on {C}omputational {L}inguistics and the 36th {A}nnual {M}eeting of the {A}ssociation for {C}omputational {L}inguistics},
pages = {807$\,$--$\,$811},
address = {Montreal, Canada},
abstract = {This paper presents the LiLFeS system, an efficient feature-structure description language for HPSG. The core engine of LiLFeS is an Abstract Machine for Attribute-Value Logics, proposed by Carpenter and Qu. Basic design policies, the current status, and performance evaluation of the LiLFeS system are described. The paper discusses two implementations of the LiLFeS. The first one is based on an emulator of the abstract machine, while the second one uses a native-code compiler and therefore is much more efficient than the first one.}
}
@inproceedings{Yoshida:1998:Qj,
author = {吉田 稔 and 牧野 貴樹 and 鳥澤 健太郎 and 辻井 潤一},
yomi = {Minoru Yoshida and Takaki Makino and Kentaro Torisawa and {Jun-ichi} Tsujii},
title = {素性構造処理言語 {LiLFeS} の最適化技術},
booktitle = {言語処理学会第4回年次大会発表論文集},
year = {1998},
address = {福岡市},
pages = {93$\,$--$\,$96}
}
@inproceedings{Torisawa:1999:S,
author = {Kentaro Torisawa and Takaki Makino and Minoru Yoshida and Takashi Ninomiya and Kenji Nishida and Hideo Imai and Yutaka Mitsuishi and Hiroshi Kanayama and Yuka Tateisi and Yusuke Miyao and {Jun-ichi} Tsujii},
year = 1999,
title = {Practical {HPSG} Parsers.},
booktitle = {Proceedings of {JSPS} Annual Symposium on Intelligent Information and Advanced Information Processing},
pages = {46$\,$--$\,$50},
}
@inproceedings{Kazama:1999:Qj,
author = {風間 淳一 and 光石 豊 and 牧野 貴樹 and 鳥澤 健太郎 and 松田 晃一 and 辻井 潤一},
yomi = {Kazama, {Jun-ichi} and Mitsuishi, Yutaka and Makino, Takaki and Torisawa, Kentaro and Matsuda, Kouichi and Tsujii, {Jun-ichi}},
title = {チャットのための日本語形態素解析},
booktitle = {言語処理学会第5回年次大会発表論文集},
year = {1999},
address = {東京都},
pages = {509$\,$--$\,$512},
}
@inproceedings{Sadamasa:1999:Qj,
author = {定政 邦彦 and 牧野 貴樹 and 光石 豊 and 鳥澤 健太郎 and 松田 晃一 and 辻井 潤一},
yomi = {Sadamasa, Kunihiko and Makino, Takaki and Mitsuishi, Yutaka and Torisawa, Kentaro and Matsuda, Kouichi and Tsujii, {Jun-ichi}},
title = {「パーソナルエージェント用自然言語インターフェース」開発ツールキット ({PANLI} toolkit)},
booktitle = {言語処理学会第5回年次大会発表論文集},
year = {1999},
address = {東京都},
pages = {393$\,$--$\,$396}
}
@mastersthesis{Makino:1999:Drfj,
author = {牧野 貴樹},
yomi = {Makino, Takaki},
title = {型付き素性構造を使用する単一化ベースのプログラミング言語のためのネイティブコードコンパイラ},
school = {東京大学 大学院理学系研究科 情報科学専攻},
type = {修士論文},
address = {東京},
year = 1999,
note = {(英語)},
abstract = { 本論文は、型付き素性構造 (TFS) を使用する単一化ベースのプログラミング言語 LiLFeSのためのネイティブコードコンパイラの設計と実装について述べる。素性 構造を使用するフォーマリズム上で自然言語処理を行うための基幹言語として、 Carpenterらの提案する属性値論理抽象機械 (AMAVL)を元に設計された LiLFeS で あるが、大量のコーパスからの統計学習などを含めた高度な自然言語処理を実現 するには処理能力の点で不十分であった。LiLFeSの実装に応用ができる高効率な Prologの実装方式としては、PrologのネイティブコードコンパイラAquarius Prolog などさまざまな研究が行われてきている。しかし、素性構造の単一化効 率を高めるには、型情報を利用した最適化を実現することが必要で、そのために は型操作を含む単一化コードをコンパイラが直接出力しなければならない。これ は、既存のProlog実装の単純な拡張や、AMAVLとの統合だけでは実現することがで きなかった。本論文では、Aquarius Prologの実装方式であるBerkeley Abstract Machineを拡張した、LiLFeSネイティブコードコンパイラの設計について述べる。 具体的には、抽象機械上での型付き素性構造の単一化の実現手法に関して、 (1) 型操作を含むコードを出力に含めるための単一化アルゴリズムの構築と分析、(2) それらのアルゴリズムを記述するための抽象機械命令の設計、(3) その上でコー ド最適化のための文脈情報を提供する型階層および確定節プログラムの静的解析 技術、の3点の提案について詳述する。また、他のLiLFeSおよびProlog処理系との 性能比較によって、本論文で提案する実装が高効率であることを示す。 }
}
@inproceedings{Yoshida:1999:Or,
author = {Yoshida, Minoru and Takashi Ninomiya and Kentaro Torisawa and Takaki Makino and {Jun'ichi} Tsujii},
year = 1999,
title = {Efficient {FB-LTAG} Parser and its Parallelization},
booktitle = {Proceedings of the Pacific Association for Computational Linguistics (PACLING) '99},
address = {Waterloo, Canada},
pages = {90$\,$--$\,$103},
}
@article{Miyao:2000:Jr,
author = {Yusuke Miyao and Takaki Makino and Kentaro Torisawa and {Jun-ichi} Tsujii},
title = {The {LiLFeS} abstract machine and its evaluation with the {LinGO} grammar},
journal = {Natural Language Engineering},
editor = {Flickinger, Dan and Oepen, Stephan and Tsujii, {Jun-ichi} and Uszkoreit, Hans},
volume = 6,
number = 1,
note = {({S}pecial Issue on Efficient Processing with {HPSG})},
pages = {47$\,$--$\,$61},
year = 2000,
abstract = { This article evaluates the efficiency of the LiLFeS abstract machine by performing parsing tasks with the LinGO English resource grammar. The instruction set of the abstract machine is optimized for efficient processing of definite clause programs and typed feature structures. LiLFeS also supports various tools required for efficient parsing (e.g. efficient copying, a built-in CFG parser) and the constructions of standard Prolog (e.g. cut, assertions, negation as failure). Several parsers and large-scale grammars, including the LinGO grammar, have been implemented in or ported to LiLFeS. Precise empirical results with the LinGO grammar are provided to allow comparison with other systems. The experimental results demonstrate the efficiency of the LiLFeS abstract machine. }
}
@misc{Makino:2001a:Nfj,
author = {牧野 貴樹},
yomi = {Makino, Takaki},
title = {言語理解のためのパルス神経回路網},
howpublished = {東大音声・言語・コミュニケーション研究会 学生交流会 (東京大学 工学部)},
note = {「うーん,これは世界を変えちゃうかもしれない研究で賞」受賞},
year = 2001,
month = sep
}
@inproceedings{Makino:2001:Orf,
author = {Makino, Takaki and Aihara, Kazuyuki and Tsujii, {Jun-ichi}},
year = {2001},
title = {Towards Sentence Understanding: Phase Arbitration in Temporal-Coding Memory Mechanism},
booktitle = {Proceedings of the Second Workshop on Natural Language Processing and Neural Networks (NLPNN'2001)},
pages = {46$\,$--$\,$52},
address = {Tokyo, Japan},
abstract = {This paper explores a mechanism of memory in human brain from a viewpoint of sentence understanding. We pointed out the following: (1) Some complexity must be incorporated into memory coding in order to be capable of representing binding in a meaning of a sentence. (2) When temporal coding is used to achieve the complexity, some mechanism is required to arbitrate phases (temporal slots) among memorized items. (3) Considering its implementation, the mechanism is likely to be global, which resembles a sort of structured memory, such as a push-down stack. (4) Episodic memory, which is thought to be formed through mammal hippocampus, can be regarded as a phase arbitration mechanism and is possibly related in depth to sentence understanding. }
}
@phdthesis{Makino:2002a:Drfxj,
author = {牧野 貴樹},
yomi = {Makino, Takaki},
title = {言語理解のためのパルス神経回路網 -- 短期記憶機構と文理解の離散イベント式シミュレーション},
school = {東京大学 大学院理学系研究科 情報科学専攻},
type = {博士論文},
address = {東京},
month = dec,
year = 2001,
note = {(英語)},
abstract = {人間の言語理解がどのようなアルゴリズムで実現されているかを調べるために、さまざまな言語処理アルゴリズムが研究されてきたが、生理学的証拠と結びつくものは見つかっていない。このような状況では、言語理解過程に関する計算理論からわかる言語理解メカニズムの実装上の制約や有利な構造を調べるというアプローチが有効である。\par 本論文では、言語理解に適した人間の短期記憶機構のモデルと、そのシミュレーションに必要な技術について提案する。具体的には、以下の3項目についての研究を行う。\par (1) 言語理解に適した短期記憶機構を神経回路網で構築するときに必要となる要素の探究 \par (2) 連続時間での高速かつ一般的なパルス神経回路網シミュレーション技術 \par (3) (1) 及び (2) を利用した、言語理解の原始的なシミュレーション \par ここで (1) については、言語を取り扱う神経回路網が備えているべき要素について、次のようなことを明らかにした。i) 言語理解の結果を表現するには束縛問題を解決することが必要であり、そのためには神経回路網の時間領域での振る舞いを利用することが最も有望であること。ii) 位相調停を実現するために、構造的な時系列記憶システムが構築されるべきであること。iii) 時系列予測の形式で文法規則の適用が実装できること。 \par また、(2) に関しては、イベント離散方式によるパルス神経回路網シミュレーション方式を研究した。位相調停など複雑な時間領域での操作を研究するために必要となる、時間精度の高い回路網シミュレーションは、時間離散方式による従来の手法ではシミュレーション速度に限界があった。一方、イベント離散方式には一般的なニューロンモデルに対し遅延発火が扱えないという問題があった。本研究で提案する二次漸進分割法は、遅延発火を解析的に計算することにより、一般的なニューロンモデルに対してもイベント離散方式でパルス回路網シミュレーションが構築できることを示す。また、冗長な遅延発火計算を検出することで遅延発火の処理を高速化する手法についても述べる。 \par そして、(3) においては、(1) 及び (2) の研究を例証するために、3〜4単語程度の単純な文を理解する神経回路網シミュレーションを構築する。ここで構築した言語理解システムをさまざまな側面から検討し、よりよい文の理解のために研究すべき方向について考察する。\par }
}
@inproceedings{jun3:2002b:Or,
author = {Araki, Junko and Takashi Ninomiya and Takaki Makino and {Jun'ichi} Tsujii},
title = {Action Vectors for Interpreting Route Descriptions},
booktitle = {Proceedings of the AAAI-02 Workshop on Spatial and Temporal Reasoning},
year = {2002}
}
@inproceedings{jun3:2002c:Or,
author = {Araki, Junko and Takashi Ninomiya and Takaki Makino and {Jun'ichi} Tsujii},
title = {Two Perspective systems Using a Route as a Reference Object},
booktitle = {Proceedings of the sixth World Multiconference on Systemics, Cybernetics and Informatics ({SCI} 2002)},
year = {2002}
}
@inproceedings{kazama:2002a:Or,
author = {Kazama, {Jun'ichi} and Takaki Makino and Yoshihiro Ohta and {Jun'ichi} Tsujii},
title = {Tuning Support Vector Machines for Biomedical Named Entity Recognition},
booktitle = {Proceedings of the ACL-02 Workshop on Natural Language Processing in the Biomedical Domain},
year = {2002},
volume = 3,
month = {July},
address = {Philadelphia, PA, USA},
}
@inproceedings{Ninomiya:2002:Or,
author = {Ninomiya, Takashi and Makino, Takaki and Tsujii, Jun'ichi},
year = 2002,
month = oct,
title = {An Indexing Scheme for Typed Feature Structures},
booktitle = {Proceedings of the 19th {I}nternational {C}onference on {C}omputational {L}inguistics},
address = {Taipei, Taiwan},
abstract = {This paper describes an indexing substrate for typed feature structures (ISTFS), which is an efficient retrieval engine for typed feature structures. Given a set of typed feature structures, the ISTFS efficiently retrieves its subset whose elements are unifiable or in a subsumption relation with a query feature structure. The efficiency of the ISTFS is achieved by calculating a unifiability checking table prior to retrieval and finding the best index paths dynamically.}
}
@inproceedings{Makino:2002c:Qfj,
author = {牧野 貴樹 and 合原 一幸},
yomi = {Makino, Takaki and Aihara, Kazuyuki},
year = 2002,
month = sep,
title = {言語理解の計算理論が神経回路網モデル開発に及ぼす影響},
booktitle = {日本神経回路学会 第12回全国大会 講演論文概要集},
address = {鳥取県鳥取市},
pdf = {jnns2002.pdf},
abstract = {},
note = {2002年日本神経回路学会奨励賞受賞}
}
@incollection{Makino:2003e:Crfx,
author = {Takaki Makino and Yusuke Miyao and Kentaro Torisawa and {Jun-ichi} Tsujii},
title = {Native-Code Compilation of Feature Structures},
booktitle = {Collaborative Language Engineering: A Case Study in Efficient Grammar-based Processing},
publisher = {{CSLI} Publications},
address = {Stanford, {CA}},
editor = {Oepen, Stephan and Flickinger, Dan and Tsujii, {Jun-ichi} and Uszkoreit, Hans},
year = 2003,
}
@misc{Makino:2003c:Rfj,
author = {牧野 貴樹 and 合原 一幸},
yomi = {Makino, Takaki and Aihara, Kazuyuki},
title = {時間の流れと「ことば」に関する脳の処理の仮説},
year = 2003,
month = jan,
note = {第3回 脳と心のメカニズム 冬のワークショップ (北海道ルスツ) においてポスター発表},
abstract = {}
}
@misc{Makino:2003d:Rfj,
author = {牧野 貴樹 and 合原 一幸},
yomi = {Makino, Takaki and Aihara, Kazuyuki},
title = {時間依存神経可塑性で構成される自己組織化マップ},
year = 2003,
month = aug,
note = {第4回 脳と心のメカニズム 夏のワークショップ (新潟県湯沢町) においてポスター発表},
abstract = {}
}
@article{Makino:2003a:Jrfx,
author = {Takaki Makino},
title = {A Discrete-Event Neural Network Simulator for General Neuron Models},
journal = {Neural Computing \& Applications},
year = 2003,
volume = 11,
pages = {210--223},
pdf = {nca2003.pdf},
publisher = {Springer-Verlag London},
abstract = {Efficient simulation techniques for a discrete-event pulsed neural network simulator were developed. In a discrete-event simulation framework, simulation of complex neural behaviors, such as phase precession and phase arbitration, demands prediction of delayed firing times. The new technique, the incremental partitioning method, uses linear envelopes of the state variable of a neuron to partition the simulated time so that the delayed-firing time is reliably calculated by applying the bisection-combined Newton-Raphson method to every partition. The quick filtering technique is also proposed for reducing calculation cost of linear envelopes. The developed simulator, \textsc{Punnets}, has achieved efficiency and precision but still is capable of simulating a complex behavior of large-scale neural network models.}
}
@techreport{Makino:2003b:Tfxj,
title = {Self-observation Principle for Estimating the Other's Internal State -- A New Computational Theory of Communication},
author = {Takaki Makino and Kazuyuki Aihara},
type = {Mathematical Engineering Technical Reports},
institution = {Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo},
number = {METR 2003--36},
year = 2003,
month = oct,
pdf = {METR03-36.pdf},
note = {\url{METR03-36.pdf}{提出版 (.pdf)}のほかに\url{METR03-36e.pdf}{ネイティブチェック反映版 (.pdf)}、\url{METR03-36j.pdf}{非公式日本語版 (.pdf)}もあります},
abstract = {人間のような高度なコミュニケーションの基礎と考えられる、自己と同等な他者の内部状態推定に関する計算理論を提案する。他者の内部状態推定においては、推定者のパラメータ次元の制約、主観的情報と客観的情報の相互変換という2つの本質的な困難が存在する。我々が提案する自己観測原理は、自己観測での学習に基づいて、この2つの問題を同時に解決する。すなわち、獲得が容易な自己のダイナミクスを学習することで他者のダイナミクスに関する先行知識を得られるので、パラメータ次元の制約を緩和できる。また、自己の主観的状態と自己を客観的に観測した情報の関連付けを学習することで、他者を客観的に観測した情報と他者にとっての主観的情報の相互変換を可能にする。本論文では、力学系観測問題の枠組でコミュニケーション問題を定式化し、そのうえで2つの困難とその解決法について論じる。また、進化心理学・神経科学との関連についても考察する。}
}
@inproceedings{Makino:2004a:Of,
author = {Makino, Takaki and Aihara, Kazuyuki},
year = 2004,
month = mar,
title = {Self-observation Principle for Estimating Peers' Internal State -- New Computational Theory on Communication},
booktitle = {Proceedings of the 2nd international symposium on emergent mechanism of communication in the brain},
address = {Awaji-shima, Hyogo},
}
@inproceedings{Makino:2004b:Orf,
author = {Makino, Takaki and Jianfeng Feng},
year = 2004,
month = nov,
title = {Configuring Spiking Neural Networks for Given Spatio-Temporal Patterns},
booktitle = {Proceedings of 2004 International Workshop on Biologically Inspired Computing},
address = {Sendai, Miyagi}
}
@misc{Makino:2004c:Ifj,
author = {牧野 貴樹 and 合原 一幸},
yomi = {Makino, Takaki and Aihara, Kazuyuki},
title = {コミュニケーションにおける相互理解の計算理論},
howpublished = {心の処理過程の脳的計算モデル化 研究会 招待講演 (北海道大学 情報科学研究科) },
year = 2004,
month = oct
}
@inproceedings{Makino:2005a:Orf,
title = {Cooperative behavior of agents that model the other and the self in noisy iterated Prisoners' Dilemma simulation},
author = {Makino, Takaki and Aihara, Kazuyuki},
booktitle = {Proceedings of 2005 4th IEEE International Conference on Development and Learning (ICDL'05)},
year = {2005},
pages = {52-57}
}
@misc{Makino:2005b:Rfj,
author = {牧野 貴樹 and 合原 一幸},
yomi = {Makino, Takaki and Aihara, Kazuyuki},
title = {自己観測原理と繰り返し囚人のジレンマ},
year = 2005,
month = jan,
note = {第5回 脳と心のメカニズム 冬のワークショップ (北海道ルスツ) においてポスター発表},
abstract = {}
}
@article{Makino:2005c:Jrf,
author = {Makino, Takaki and Hirayama, Kotaro and Aihara, Kazuyuki},
title = {Understanding others: Possible links among parity, mirror neurons, and communication},
year = 2005,
note = {(Supplemental commentary to the article ``From monkey-like action recognition to human language: An evolutionary framework for neurolinguistics'' by Michael A. Arbib) http://www.bbsonline.org/Preprints/Arbib-05012002/Supplemental/},
journal = {Behavioral Brain \& Sciences},
abstract = {In the target article, LR3 (Parity), one of the possible criteria for language readiness, is defined with a simple description: ``What counts for the speaker (or producer) must count for the listener (or receiver).'' Based on a self-observation principle, we would like to suggest that this ability plays a much more crucial role in communication than can be inferred from the statement, namely, the role of ``understanding others.''}
}
@inproceedings{Makino:2006b:Prf,
author = {Makino, Takaki and Aihara, Kazuyuki},
year = 2006,
title = {Multi-agent Reinforcement Learning Algorithm to Handle Beliefs of Other Agents' Policies and Embedded Beliefs},
booktitle = {Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'06)},
pages = {789--791},
month = may,
address = {Hakodate, Hokkaido},
abstract = {We have developed a new series of multi-agent reinforcement learning algorithms that choose a policy based on beliefs about co-players’policies. The algorithms are applicable to situations where a state is fully observable by the agents, but there is no limit on the number of players. Some of the algorithms employ embedded beliefs to handle the cases that co-players are also choosing a policy based on their beliefs of others’ policies. Simulation experiments on Iterated Prisoners’ Dilemma games show that the algorithms using on policy-based belief converge to highly mutually-cooperative behavior, unlike the existing algorithms based on action-based belief.}
}
@misc{Makino:2006c:Ifj,
author = {牧野 貴樹},
yomi = {Makino, Takaki},
title = {自律エージェントによる「対等な他者」の内部モデル構築},
howpublished = {東北大学電気通信研究所共同プロジェクト研究「コミュニケーションダイナミクス」(H17/B13)によるシンポジウム「コミュニケーションダイナミクス」招待講演 (東北大学 電気通信研究所) },
year = {2006},
month = mar
}
@inproceedings{Makino:2007b:Qfj,
title = {相互の他者理解のための理論モデルとシミュレーション研究},
author = {牧野 貴樹 and 合原 一幸},
yomi = {Makino, Takaki and Aihara, Kazuyuki},
booktitle = {生活支援工学系学会連合大会講演予稿集},
volume = {5},
pages = 33,
year = 2007
}
@article{Makino:2007a:Yfxj,
author = {牧野 貴樹 and 合原 一幸},
yomi = {Makino, Takaki and Aihara, Kazuyuki},
title = {他者理解をシミュレーションする},
journal = {シミュレーション},
volume = 26,
number = 3,
year = 2007,
pages = {171--175},
abstract = {We briefly describe \textit{mentalizing}, or understanding others' mental states, in an active research area of cognitive science. To overcome inaccessiblity of others' mental states, theoretical studies assume some mentalizing mechanism in the brain, including simulating others' behavior within knowledge of behavior of the self. We also present our computer-simulation study that tackles the role of mentalizing in a social environment, which examines behavior of agents based on reinforcement learning in Iterated Prisoners' Dilemma games. The results show that agents that choose actions using the estimated policy (corresponding to the mental state) of the co-player, achieve higher cooperation rates than control agents do, which choose actions using only the expected action of the co-player, or only the recent history of game plays. }
}
@incollection{Fukui:2008:Nj,
title = {指定入院医療機関における脳機能画像データの有効性に関する検討},
booktitle = {心神喪失者等医療観察法制度における専門的医療の向上のためのモニタリングに関する研究 平成17-19年度総合研究報告書 平成19年度総括・分担研究報告書},
author = {福井 裕輝 and 川田 良作 and 佐野 雅隆 and 高橋 洋子 and 樽矢 敏広 and 西中 宏吏 and 牧野 貴樹 and 増田 尚久 and 森崎 洋平},
yomi = {Fukui, Hiroki and Kawada, Ryosaku and Sano, Masataka and Takahashi, Yoko and Taruya, Toshihiro and Nishinaka, Hirofumi and Makino, Takaki and Masuda, Naohisa and Morisaki, Yohei},
year = {2008},
pages = {83--84}
}
@misc{Makino:2008q:Ifj,
author = {牧野 貴樹},
yomi = {Makino, Takaki},
title = {東大学術統合化プロジェクト{U}niversity on {T}extbooksについて},
howpublished = {生命科学の日本語教科書データ利用研究会 招待講演 (情報・システム研究機構 ライフサイエンス統合データベースセンター) },
year = 2008,
month = apr
}
@article{Makino:2008a:Jrfx,
author = {Makino, Takaki},
title = {Failure, instead of inhibition, should be monitored for the distinction of self/other and actual/possible actions},
journal = {Behavioral and Brain Sciences},
year = 2008,
volume = 31,
number = 1,
pages = {32--33},
publisher = {Cambridge University Press},
address = {New York, NY, USA},
note = {A commentary for Susan Hurley's article ``The Shared Circuits Model: How Control, Mirroring and Simulation Can Enable Imitation, Deliberation, and Mindreading''.},
abstract = {I suggest that layer 4 of the shared circuits model (SCM) should monitor the failure of performing an action, instead of output inhibition, to obtain actual/possible and self/other distinction. The target article's assumption of selective inhibition leaves some questions unansweres, such asa the criteria for the selection. Monitoing failure can answer these questions because failure does not require selection. It also provices a basis for more likely explanation for the phylogenetic and ontogenetic origin of both monitoring and output inhibition.}
}
@article{Mino:2008a:Jj,
author = {美濃 由紀子 and 岡田 幸之 and 菊池 安希子 and 牧野 貴樹 and 吉川 和男},
yomi = {Yukiko Mino and Takayuki Okada and Akiko Kikuchi and Takaki Makino and Kazuo Yoshikawa},
title = {医療観察法制度の通院医療における精神保健福祉法入院の併用実態と課題 〜指定通院医療機関のモニタリング調査から〜},
journal = {司法精神医学},
volume = 4,
number = 1,
pages = 111,
optnote = {第5回 日本司法精神医学会大会 (May 2009)},
year = {2008}
}
@inproceedings{Makino:2008c:Qfj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {{POMDP} 環境中での{TD}-Networkの自動獲得: 単純再帰構造による拡張},
booktitle = {第22回 人工知能学会全国大会 予稿集},
year = {2008},
month = jun,
abstract = {We propose a new neural network architecture, Simple recurrent TD Networks (SR-TDNs), that learns to predict future observations in partially observable environments, using proto-predictive representation of states. SR-TDNs incorporate the structure of simple recurrent neural networks (SRNs) into temporal-difference (TD) networks to use proto-predictive representation of states. Our simulation experiments revealed that these networks have better on-line learning capacity than TD networks in various environments.}
}
@inproceedings{Makino:2008d:Qfj,
author = {牧野 貴樹 and 合原 一幸},
yomi = {Takaki Makino and Kazuyuki Aihara},
title = {自己観測原理: 他者認知の数理的枠組},
booktitle = {第22回 人工知能学会全国大会 予稿集},
year = {2008},
month = jun,
abstract = {We briefly describe \textit{mentalizing}, or understanding others' mental states, in an active research area of cognitive science. To overcome inaccessiblity of others' mental states, theoretical studies assume some mentalizing mechanism in the brain, including simulating others' behavior within knowledge of behavior of the self. We also present our computer-simulation study that tackles the role of mentalizing in a social environment, which examines behavior of agents based on reinforcement learning in Iterated Prisoners' Dilemma games. The results show that agents that choose actions using the estimated policy (corresponding to the mental state) of the co-player, achieve higher cooperation rates than control agents do, which choose actions using only the expected action of the co-player, or only the recent history of game plays.},
pdf = {100181.pdf}
}
@incollection{Makino:2008e:Orfx,
author = {Makino, Takaki and Takagi, Toshihisa},
title = {On-line Discovery of Temporal-Difference Networks},
booktitle = {ICML '08: Proceedings of the 25th Annual International Conference on Machine Learning},
year = 2008,
publisher = {Omnipress},
location = {Helsinki, Finland},
editor = {Andrew McCallum and Sam Roweis},
pages = {632--639},
abstract = {We present an algorithm for on-line, incremental discovery of temporal-difference (TD) networks. The key contribution is the establishment of three criteria to expand a node in TD network: a node is expanded when the node is well-known, independent, and has a prediction error that requires further explanation. Since none of these criteria requires centralized calculation operations, they are easily computed in a parallel and distributed manner, and scalable for bigger problems compared to other discovery methods of predictive state representations. Through computer experiments, we demonstrate the empirical effectiveness of our algorithm.},
}
@incollection{Takahashi:2008a:Cr,
author = {Taiki Takahashi and Takaki Makino and Yu Ohmura and Hiroki Fukui},
title = {Employing delay and probability discounting frameworks for a neuroeconomic understanding of gambling behavior},
editor = {M. J. Esposito},
booktitle = {Psychology of Gambling},
pages = {67--82},
publisher = {Nova Science},
year = {2008}
}
@inproceedings{Makino:2008f:Pdf,
author = {Takaki Makino and Taiki Takahashi and Hiroki Fukui},
title = {Modeling Decision Mechanism as a Reinforcement Learning with Probabilistic Discounting},
booktitle = {Proceedings of the 2nd WFSBP Asia-Pacific Congress},
year = {2008},
volume = 30,
pages = 157,
month = sep
}
@misc{Makino:2008r:Ifj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {生命科学のフロンティアを読む --- 教科書を軸とした学術統合化},
howpublished = {学術統合化シンポジウム『われわれの未来はどうなるのか---学術の統合から見えてくる地球と人類の未来を予測する』講演 (東京大学 安田講堂)},
year = 2008,
month = nov
}
@article{Mino:2008a:Jrj,
author = {美濃 由紀子 and 牧野 貴樹 and 宮本 真巳},
yomi = {Mino, Yukiko and Makino, Takaki and Miyamoto, Masami},
title = {医療観察法における指定入院医療機関スタッフの意識調査 −開棟前の期待や危惧に基づいた開棟後アンケート調査より−},
year = {2008},
journal = {日本精神科看護学会誌},
address = {東京},
volume = 51,
number = 3,
pages = {490--494}
}
@inproceedings{Shiro:2008a:Qj,
author = {城 真範 and 牧野 貴樹 and 合原 一幸},
yomi = {Shiro, Masanori and Makino, Takaki and Aihara, Kazuyuki},
title = {積分発火ニューロンモデルを利用した情報分離の検討},
booktitle = {第22回人工知能学会全国大会 予稿集},
location = {旭川市},
year = {2008},
month = jun,
pdf = {100327.pdf}
}
@inproceedings{Akada:2008:Qj,
author = {赤田 傭平 and 牧野 貴樹 and 高木 利久},
yomi = {Akada, Yohei and Makino, Takaki and Takagi, Toshihisa},
title = {環境との相互作用に基づく法則性抽象化の機構},
booktitle = {第22回人工知能学会全国大会 予稿集},
location = {旭川市},
year = {2008},
month = jun,
pdf = {100184.pdf}
}
@inproceedings{Shiro:2008b:Rj,
author = {城 真範 and 牧野 貴樹 and 合原 一幸},
yomi = {Shiro, Masanori and Makino, Takaki and Aihara, Kazuyuki},
title = {{LSM}による非線形情報の予想},
booktitle = {脳と心のメカニズム 第9回 夏のワークショップ},
location = {札幌市},
year = {2008},
month = aug
}
@inproceedings{Shiro:2008c:Qj,
author = {城 真範 and 牧野 貴樹 and 合原 一幸},
yomi = {Shiro, Masanori and Makino, Takaki and Aihara, Kazuyuki},
title = {{LSM}モデルを用いた非線形時系列の予測},
booktitle = {日本神経回路学会 第18回全国大会},
location = {つくば市},
year = {2008},
month = sep,
pdf = {P1-25.pdf}
}
@inproceedings{Makino:2008g:Rfj,
author = {Makino, Takaki},
title = {Simple Recurrent Temporal-Difference Networks},
year = {2008},
month = oct,
booktitle = {情報論的学習理論ワークショップ (IBIS2008)},
location = {仙台市}
}
@inproceedings{Akiya:2009:Qj,
author = {秋谷 兼充 and 牧野 貴樹 and {クレイネス スティーブン} and 高木 利久},
yomi = {Akiya, Kanemitsu and Makino, Takaki and Kraines, Steven and Takagi, Toshihisa},
title = {自然言語処理技術とオントロジーを利用した生物医学論文における多様な2項関係の抽出},
booktitle = {言語処理学会第15回年次大会論文集},
location = {鳥取市},
year = {2009},
month = mar
}
@article{Makino:2009a:Xfj,
author = {牧野 貴樹 and 高橋 泰城 and 福井 裕輝},
yomi = {Takaki Makino and Taiki Takahashi and Hiroki Fukui},
title = {サイコパス傾向と脳内意思決定メカニズム:強化学習理論を用いた記述},
journal = {司法精神医学},
volume = 4,
number = 1,
pages = {115-116},
year = {2009},
optnote = {第4回 日本司法精神医学会大会 (May 2008)}
}
@misc{Makino:2009a1:Ifj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {未知環境{POMDP}に対する新しいアプローチ},
howpublished = {第17回 T-PRIMALセミナー 招待講演 (東京工業大学)},
year = 2009,
month = mar
}
@inproceedings{Makino:2009b:Qfj,
author = {牧野 貴樹 and 高橋 泰城 and 西中 宏吏 and 福井 裕輝},
yomi = {Makino, Takaki and Takahashi, Taiki and Nishinaka, Hirofumi and Fukui, Hiroki},
title = {確率割引モデルにおける認知と行動の相関分析},
booktitle = {第48回 日本生体医工学会大会},
location = {東京},
month = apr,
year = {2009}
}
@inproceedings{Makino:2009c:Rfj,
author = {牧野 貴樹 and 高橋 泰城 and 西中 宏吏 and 福井 裕輝},
yomi = {Makino, Takaki and Takahashi, Taiki and Nishinaka, Hirofumi and Fukui, Hiroki},
title = {Iowa Gambling Task 行動選択と確率に対する認知的確率割引の相関分析},
booktitle = {日本生物学的精神医学会プログラム・講演抄録},
location = {京都},
month = apr,
volume = 31,
pages = 179,
year = {2009}
}
@inproceedings{Makino:2009d:Orfx,
author = {Makino, Takaki},
title = {Proto-Predictive Representation of States with Simple Recurrent Temporal-Difference Networks},
booktitle = {ICML '09: Proceedings of the 26th Annual international conference on machine learning},
year = 2009,
editor = {L\'{e}on Bottou and Michael Littman},
publisher = {Omnipress},
address = {Montreal},
pages = {697--704},
abstract = {We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable environments. SR-TDNs incorporate the structure of simple recurrent neural networks (SRNs) into temporal-difference (TD) networks to use proto-predictive representation of states. Although they deviate from the principle of predictive representations to ground state representations on observations, they follow the same learning strategy as TD networks, i.e., applying TD-learning to general predictions. Simulation experiments revealed that SR-TDNs can correctly represent states with incomplete set of core tests (question networks), and consequently, SR-TDNs have better on-line learning capacity than TD networks in various environments.},
month = jun,
}
@incollection{Makino:2009e:Prf,
author = {Takaki Makino and Taiki Takahashi and Hirofumi Nishinaka and Hiroki Fukui},
title = {Probabilistic Discounting for Modeling Behaviors in {I}owa Gambling Task},
booktitle = {Proceedings of Multi-disciplinary Symposium on Reinforcement Learning (MSRL 2009)},
year = 2009,
month = jun,
location = {Montreal}
}
@article{Mino:2009a:Jrj,
author = {美濃 由紀子 and 岡田 幸之 and 菊池 安希子 and 佐野 雅隆 and 牧野 貴樹 and 吉川 和男},
yomi = {Mino, Yukiko and Okada, Takayuki and Kikuchi, Akiko and Sano, Masataka and Makino, Takaki and Yoshikawa, Kazuo},
title = {指定通院医療機関における専門的医療向上のためのモニタリング研究 −医療観察法施行2年後の静態情報等の結果から−},
journal = {日本精神科看護学会誌},
volume = 52,
number = 2,
pages = {233--237},
year = {2009}
}
@incollection{Makino:2009f:Crfxj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {コミュニケーションの自己組織化},
booktitle = {自己組織化ハンドブック},
publisher = {NTS出版},
year = {2009},
editors = {国武 豊喜 他},
pages = {438--443}
}
@misc{Makino:2009g:Rfj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {階層状態無限隠れマルコフモデル},
month = oct,
year = {2009},
howpublished = {情報論的学習理論 (IBIS2009) ポスター発表 (福岡市)},
abstract = {無限隠れマルコフモデル (iHMM) は、HMMをノンパラメトリックベイズ統計で拡張し、隠れ状態数を積分消去したモデルであり、ベイズ確率モデルによる柔軟な学習能力で時系列データを扱うものである。 しかし、iHMMは、HMMと同様に、学習が局所解に陥りやすい欠点があった。Beam Sampler など高性能なサンプラーの研究が進められているが、本来は性質の異なる複数の状態が同一の隠れ状態にミックスして学習されてしまった場合に、隠れ状態が離散的であるため、性質に応じて隠れ状態を再分配することが困難である。 通常のHMMのパラメータ推定では、局所解を解決するために、隠れ状態を基準で分割するヒューリスティックが研究されているが、通常のベイズモデルに対してこのような操作を導入することは困難であった。 我々は、iHMM の状態を階層化したベイズ事前分布のモデル、階層iHMMを提案する。隠れ状態のそれぞれが階層的に子状態をもち、各状態の遷移確率と出力確率が階層 Chinese Restaurant Process によって結び付けられているので、各子状態が親状態から遷移確率・出力確率を引き継ぎつつ独自の性質をもつことができる。また、隠れ状態の分割基準が、統計的に統一的な枠組みで表現できる。 実験では、特に局所解の影響を受けやすいため、通常はHMMには使われない学習手法である粒子フィルタ法を適用した場合でも、iHMMを階層化した提案モデルにより、効率的な学習が可能になることを示す。}
}
@incollection{Takei:2009a:Qj,
author = {武井俊祐 and 牧野貴樹 and 高木利久},
yomi = {Takei, Shunsuke and Makino, Takaki and Takagi, Toshihisa},
title = {ベイズ確率文脈自由文法のための高速構文木サンプリング法},
booktitle = {情報論的学習理論 (IBIS) テクニカルレポート 2009},
month = oct,
year = {2009},
pdf = {ibistakei.pdf},
abstract = {本研究はベイズ拡張された確率文脈自由文法(PCFG)に対する効率的なサンプリングアルゴリズムを構築することで,高速かつ高精度な文法学習を可能にすることを目的とする.PCFGは計算機科学分野だけでなくバイオインフォマティクス分野など幅広い分野で活用されている一般性の高い確率モデルであり,そのベイズモデルについても期待が高い.近年,変分ベイズ法のような近似に基づく高速パラメータ推定手法が提案され,盛んに研究されているものの,高精度な推定を必要とする場合は依然として計算コストの高いMCMCのような手法が必要となる.Bayesian PCFGに対するMCMC法を構成するためには,単純にはGibbs Samplerのような手法を適用することが考えられるが, PCFGのパラメータ間に強い相互依存があり,またパラメータ空間も大きいことから,Gibbs Samplerでは収束が遅く効率が悪い.これに対しJohnsonらは構文木の確率に応じた構文木のみのサンプリングによるMetropolis-Hastings Samplerを構築し,より効率的なサンプリング手法を提案している.しかしJohnsonらの手法は依然として計算コストが高く,大規模データへの適用は困難を伴う.そこで我々は,ベイズ拡張された隠れマルコフモデルのための高速なMCMC法であるBeam Sampling法をPCFGに応用することでJohnsonらの手法を高速化する.隠れマルコフモデルにおけるBeam Sampling法は,動的計画法とSlice Sampling法を利用することにより,ベイズ隠れマルコフモデルの高速なパラメータ推定を可能にする手法であるが,これをそのままの形式でPCFGの枠組みへ応用しようとするとき,HMMにおいて各時刻において割り当てられている補助変数をPCFGで利用される内側確率表に直接対応付けることができず,アルゴリズムが構築できない.本論文ではこれを内側確率表上の分割位置に補助変数を対応付ける形式としてSplit Position Slice Samplerという手法を新たに提案することでBeam Samplerの枠組みを拡張し,これをJohnsonらの手法へ組み込むことによって高い精度を保ったままBayesian PCFGのパラメータ推定を高速に行うMCMC法を構築する.},
location = {福岡市}
}
@misc{Makino:2009g:Prfj,
author = {Takaki Makino and Shunsuke Takei and Daichi Mochihashi and Issei Sato and Toshihisa Takagi},
month = dec,
title = {Conditional Simultaneous Draws from Hierarchical {Chinese} Restaurant Processes},
year = {2009},
howpublished = {Nonparametric Bayes Workshop at NIPS 2009 (NPBayes2009) にてポスター発表}
}
@article{Makino:2009h:Tfj,
title = {不確実な環境下における行動選択の解明---確率割引モデルによる分析---},
journal = {国立精神・神経センター精神保健研究所年報},
author = {牧野 貴樹 and 高橋 泰城 and 福井 裕輝},
yomi = {Makino, Takaki and Takahashi, Taiki and Fukui, Hiroki},
year = 2009,
volume = 2,
number = 1,
pages = 263
}
@article{Takahashi:2009:Jr,
title = {Cultural neuroeconomics of intertemporal choice.},
author = {Takahashi, Taiki and Hadzibeganovic, Tarik and Cannas, Sergio A. and Makino, Takaki and Fukui, Hiroki and Kitayama, Shinobu},
volume = 30,
number = 2,
year = 2009,
pages = {185--191},
journal = {Neuroendocrinology Letters},
abstract = {According to theories of cultural neuroscience, Westerners and Easterners may have distinct styles of cognition (e.g., different allocation of attention). Previous research has shown that Westerners and Easterners tend to utilize analytical and holistic cognitive styles, respectively. On the other hand, little is known regarding the cultural differences in neuroeconomic behavior. For instance, economic decisions may be affected by cultural differences in neurocomputational processing underlying attention; however, this area of neuroeconomics has been largely understudied. In the present paper, we attempt to bridge this gap by considering the links between the theory of cultural neuroscience and neuroeconomic theory of the role of attention in intertemporal choice. We predict that (i) Westerners are more impulsive and inconsistent in intertemporal choice in comparison to Easterners, and (ii) Westerners more steeply discount delayed monetary losses than Easterners. We examine these predictions by utilizing a novel temporal discounting model based on Tsallis’ statistics (i.e. a q-exponential model). Our preliminary analysis of temporal discounting of gains and losses by Americans and Japanese confirmed the predictions from the cultural neuroeconomic theory. Future study directions, employing computational modeling via neural networks, are briefly outlined and discussed.},
}
@article{Nishinaka:2009:Xfj,
author = {西中 宏吏 and 高橋 泰城 and 牧野 貴樹 and 福井 裕輝},
yomi = {Nishinaka, Hirofumi and Takahashi, Taiki and Makino, Takaki and Fukui, Hiroki},
title = {サイコパス傾向にみられる近視眼性に関する研究},
journal = {司法精神医学},
volume = 5,
number = 1,
page = 132,
year = 2010,
optnote = {第5回 日本司法精神医学会大会 (May 2009)}
}
@inproceedings{Nishinaka:2009b:Qj,
author = {西中 宏吏 and 高橋 泰城 and 牧野 貴樹 and 福井 裕輝},
yomi = {Nishinaka, Hirofumi and Takahashi, Taiki and Makino, Takaki and Fukui, Hiroki},
title = {サイコパス傾向にみられる意思決定:ニューロエコノミクスによる検討},
booktitle = {日本生物学的精神医学会プログラム・講演抄録},
year = {2009},
vollume = 31,
pages = 174,
month = jun
}
@article{Mino:2010a:Jrj,
title = {指定通院医療機関におけるモニタリングに関する研究 −通院処遇期間の推定と精神保健福祉法入院の併用実態分析を中心に−},
author = {美濃 由紀子 and 安藤 久美子 and 岡田 幸之 and 菊池 安希子 and 佐野 雅隆 and 牧野 貴樹 and 吉川 和男},
yomi = {Yukiko Mino and Kumiko Ando and Takayuki Okada and Akiko Kikuchi and Masataka Sano and Takaki Makino and Kazuo Yoshikawa},
volume = 39,
number = 1,
year = 2010,
month = jan,
pages = {93--100},
journal = {臨床精神医学}
}
@misc{Makino:2010a:Ifj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {隠れマルコフモデルのノンパラメトリックベイズ推定と{MCMC}法},
howpublished = {研究会『マルコフ連鎖モンテカルロ法とその周辺』 招待講演 (統計数理研究所)},
year = 2010,
month = feb
}
@misc{Makino:2010a1:Ifj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {Hierarchical state clustering of hidden {M}arkov models with hierarchical {D}irichlet processes},
howpublished = {けいはんなトーク 招待講演 (情報通信研究機構(NICT) けいはんな研究所)},
year = 2010,
month = apr
}
@article{Makino:2010b:Lfj,
author = {牧野 貴樹 and 滝 久雄 and 合原 一幸},
yomi = {Takaki Makino and Hisao Taki and Kazuyuki Aihara},
title = {利他的行動と再帰的他者推定},
journal = {生産研究},
volume = 62,
number = 3,
pages = {259--265},
year = 2010,
month = may
}
@article{Makino:2010c:Yfj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {{ICML} 2009 会議報告},
journal = {人工知能学会誌},
volume = 25,
number = 3,
pages = {459--460},
year = 2010
}
@techreport{Makino:2010d:ITfj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {ノンパラメトリックベイズに基づく統計的機械学習},
type = {電子情報通信学会技術研究報告},
number = {IBISML2010-14},
institution = {電子情報通信学会},
year = 2010,
month = jun,
pages = {87--94},
note = {IBISML 第1回研究会 招待講演},
abstract = {ノンパラメトリックベイズは、過学習の回避とモデル選択という、機械学習において繰り返し問題となるテーマに対する新しいアプローチである。ノンパラメトリックベイズ手法は、仮説空間 上に適切な事前確率分布を導入することで無用に複雑な解を避けるベイズ推定の考え方をさらに推し進め、無限個のモデルの混合分布を考えることで、学習デー タに対応する複雑さのモデルが自動的に選択されるようにできることから、関数回帰、クラスタリング、文書のトピックモデルなど、多くの応用が研究されてい る。今回は、隠れマルコフモデルをノンパラメトリックベイズ化することで無限個の隠れ状態まで扱える infinite HMMを中心に、ノンパラメトリックベイズの枠組みを紹介する。また、infinite HMM の自然な拡張により隠れ状態の階層的なクラスタリングが実現できることを示す。}
}
@incollection{Kraines:2010:OXr,
title = {Bridging the Knowledge Gap between Research and Education through Textbooks},
author = {Steven Kraines and Takaki Makino and Weisen Guo and Haruo Mizutani and Toshihisa Takagi},
year = {2010},
booktitle = {Advances in Web-Based Learning - ICWL 2010 : 9th International Conference, China, Proceedings},
series = {Lecture Notes in Computer Science},
volume = 6483,
pages = {121-130},
publisher = {Springer}
}
@incollection{Makino:2010e:Pf,
title = {Slice Sampling for {Chinese} Restaurant Process},
author = {Takaki Makino},
year = {2010},
booktitle = {Proc. of the 2nd Asian Conference on Machine Learning (ACML 2010)}
}
@article{Mino:2011a:Jrj,
title = {指定通院医療機関における触法精神障害者の治療・ケアの現状と課題---多職種チームスタッフの抱える困難感に焦点をあてて},
author = {美濃 由紀子 and 牧野 貴樹 and 宮本 真巳},
yomi = {Yukiko Mino and Takaki Makino and Masami Miyamoto},
volume = 6,
number = 1,
year = 2011,
pages = {2-9},
journal = {司法精神医学}
}
@article{Makino:2011a:Yfj,
author = {牧野 貴樹},
yomi = {Takaki Makino},
title = {強化学習(私のブックマーク)},
journal = {人工知能学会誌},
volume = 26,
number = 3,
pages = {301--303},
year = 2011,
}
@article{Sainaa:2011a:OXr,
author = {Sainbayar Sukhbaatar and Takaki Makino and Kazuyuki Aihara and Takashi Chikayama},
title = {Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Net},
journal = {Journal of Machine Learning Research - Proceedings Track},
volume = {20},
year = {2011},
pages = {231--246},
note = {Presented in the 3rd Asian Conference on Machine Learning (ACML 2011)},
location = {Taoyuan, Taiwan},
optinfo = { Accept rate = 38.3\% (23/60)}
}
@misc{Ohguro:2011a:Sj,
author = {大黒 舞衣 and 牧野 貴樹 and 藤江 遼 and 合原 一幸},
yomi = {Mai Ohguro and Takaki Makino and Ryo Fujie and Kazuyuki Aihara},
title = {Personal Control Strategy in a Three-person Game with Indirect Information},
howpublished = {明治大学先端数理科学インスティテュート開設記念シンポジウムにてポスター発表},
year = 2011,
month = oct
}
@misc{Yamazaki:2011a:Sj,
author = {山崎 由佳 and 牧野 貴樹 and 藤江 遼 and 合原 一幸},
yomi = {Yuka Yamazaki and Takaki Makino and Ryo Fujie and Kazuyuki Aihara},
title = {Evolutionary Game Based on Similarity of Preference among Neighbor Agents: Simulation of Unification and Schism},
howpublished = {明治大学先端数理科学インスティテュート開設記念シンポジウムにてポスター発表},
year = 2011,
month = oct
}
@inproceedings{Kasai:2011a:Rj,
title = {{MMPI}-2の補助尺度{Mt}(大学生活不適応)の特徴―{WRK},{D}尺度との関係性の検討―},
author = {笠井 翔太 and 美濃 由紀子 and 牧野 貴樹 and 小口 徹},
yomi = {Shota Kasai and Yukiko Mino and Takaki Makino and Tohru Oguchi},
booktitle = {日本心理学会 第75回大会 論文集},
year = 2011,
pages = {2PM004},
month = sep
}
@inproceedings{Oguchi:2011a:Rj,
title = {{MMPI}-2補助尺度群中の物質依存症2尺度({APS},{AAS})について},
author = {小口 徹 and 美濃 由紀子 and 笠井 翔太 and 牧野 貴樹 and 大谷 義夫},
yomi = {Tohru Oguchi and Yukiko Mino and Shota Kasai and Takaki Makino and Yoshio Otani},
booktitle = {日本心理学会 第75回大会 論文集},
year = 2011,
pages = {2PM003},
month = sep
}
@incollection{Makino:2011b:Sf,
author = {Takaki Makino and Kazuyuki Aihara},
title = {A Simulation Environment for Mutual Estimation of Peers' Internal State},
booktitle = {Proc. of the 1st International Symposium on Innovative Mathematical Modeling},
year = 2011
}
@misc{Makino:2011c:Rfj,
author = {牧野 貴樹 and 水谷 治央 and 小塚 淳 and 佐藤 一誠},
yomi = {Takaki Makino and Haruo Mizutani and Jun Kozuka and Issei Sato},
title = {べイズ推定に基づく{X}線{CT}再構成でのビームハードニング低減},
month = nov,
year = {2011},
howpublished = {情報論的学習理論 (IBIS2011) ポスター発表 (奈良市)}
}
@article{Makino:2011d:Xf,
author = {Takaki Makino and Shunsuke Takei and Issei Sato and Daichi Mochihashi},
title = {Restricted Collapsed Draw: Accurate Sampling for Hierarchical {C}hinese Restaurant Process Hidden {M}arkov Models},
journal = {arXiv preprint arXiv:1106.0474},
year = 2011
}
@patent{Makino:2011d:Ej,
author = {小塚 淳 and 牧野 貴樹 and 水谷 治央},
yomi = {Jun Kozuka and Takaki Makino and Haruo Mizutani},
title = {画像再構成装置及びプログラム},
year = {2013},
month = {01},
day = {10},
number = {特開2013-5840},
type = {日本国特許},
version = {},
location = {Japan},
filing_num = {特願2011-138833},
yearfiled = {2011},
monthfiled = {06},
dayfiled = {22},
pat_refs = {}, ipc_class = {A61B 6/03}, us_class = {350 N},
abstract = {種々の投影像の撮像態様に容易に対応でき、応用性を向上した画像再構成装置及びプログラムを提供する。}
}
@inproceedings{Hachiya:2011:Qj,
author = {八谷 大岳 and 森村 哲郎 and 牧野 貴樹 and 杉山 将},
title = {Modified {N}ewton Approach to Policy Search},
booktitle = {信学技報},
volume = {111},
number = {275},
series = {IBISML2011-54},
pages = {79-85},
address = {奈良},
month = nov,
year = {2011},
note = {2011年11月9日(水)-11月11日(金) 奈良女子大学 (IBISML)}
}
@article{Makino:2012a:Qfj,
author = {牧野 貴樹 and 竹内 誉羽},
yomi = {Takaki Makino and Johane Takeuchi},
title = {部分観測環境のモデルパラメータに対する徒弟学習},
journal = {信学技報},
volume = {111},
number = {480},
note = {IBISML2011-94},
pages = {49--54},
publisher = {電子情報通信学会},
year = 2012,
month = mar,
day = 12
}
@misc{Makino:2012f:Of,
author = {Takaki Makino and Chiyori Urabe and Kazuyuki Aihara},
title = {Applicability of {C}onley-{M}orse graphs to Controlled and Noisy Dynamical Systems},
howpublished = {Presented in the 4th Developers Workshop on the Conley-Morse Database Project, Kauai, Hawaii},
year = 2012,
month = mar,
day = 24
}
@misc{Urabe:2012a:O,
author = {Chiyori Urabe and Takaki Makino and Kazuyuki Aihara},
title = {On noisy dynamical systems: logistic maps and quasi-periodically forced systems},
howpublished = {Presented in the 4th Developers Workshop on the Conley-Morse Database Project, Kauai, Hawaii},
year = 2012,
month = mar,
day = 24
}
@incollection{Makino:2012c:Sf,
author = {Takaki Makino and Johane Takeuchi},
title = {Learning Model Parameters of Partially Observable Markov Decision Process from Demonstration},
booktitle = {Proc. of the 2nd International Symposium on Innovative Mathematical Modeling},
month = may,
pages = 68,
year = 2012
}
@inproceedings{Sukhbaatar:2012a:S,
author = {Sainbayar Sukhbaatar and Takaki Makino and Kazuyuki Aihara and Takashi Chikayama},
title = {Robust generation of dynamical patterns in human motion by a deep belief net},
booktitle = {Proc. of the 2nd International Symposium on Innovative Mathematical Modeling},
month = may,
year = 2012
}
@inproceedings{Kiwaki:2012a:S,
author = {Taichi Kiwaki and Takaki Makino and Kazuyuki Aihara},
title = {A heuristic algorithm for finding the simplest expression of the structure in data},
booktitle = {Proc. of the 2nd International Symposium on Innovative Mathematical Modeling},
month = may,
pages = 109,
year = 2012
}
@inproceedings{Suzuki:2012a:S,
author = {Rie Suzuki and Hao San and Masao Hotta and Takaki Makino},
title = {Robust cyclic {ADC} based on $\beta$-expansion},
booktitle = {Proc. of the 2nd International Symposium on Innovative Mathematical Modeling},
month = may,
pages = 116,
year = 2012
}
@inproceedings{Makino:2012d:Orfx,
author = {Takaki Makino and Johane Takeuchi},
title = {Apprenticeship Learning for Model Parameters of Partially Observable Environments},
booktitle = {ICML '12: Proceedings of the 29th Annual international conference on machine learning},
year = 2012,
abstract = {We consider apprenticeship learning --- i.e., having an agent learn a task by observing an expert demonstrating the task --- in a partially observable environment when the model of the environment is uncertain. This setting is useful in applications where the explicit modeling of the environment is difficult, such as a dialogue system. We show that we can extract information about the environment model by inferring action selection process behind the demonstration, under the assumption that the expert is choosing optimal actions based on knowledge of the true model of the target environment. Proposed algorithms can achieve more accurate estimates of POMDP parameters and better policies from a short demonstration, compared to methods that learns only from the reaction from the environment.},
month = jun,
day = 1,
}
@misc{Makino:2012d:Prf,
author = {Takaki Makino and Johane Takeuchi},
title = {Apprenticeship Learning for Model Parameters of Partially Observable Environments},
howpublished = {Poster presentation in EWRL10: the 10th European Workshop on Reinforcement Learning},
year = 2012,
month = jul,
day = 1
}
@inproceedings{Mino:2012a:Rj,
title = {{MMPI}-2 臨床尺度群中のPsychopathic Deviate尺度({Pd})と内容・補助尺度群との関連},
author = {美濃 由紀子 and 牧野 貴樹 and 笠井 翔太},
yomi = {Yukiko Mino and Takaki Makino and Shota Kasai},
booktitle = {日本心理学会 第76回大会 論文集},
year = 2012,
month = sep,
pages = {1AMD06}
}
@inproceedings{Kasai:2012a:Rj,
title = {{MMPI}-2内容尺度{OBS}と他の尺度との関係性―臨床尺度{Pt}を中心として―},
author = {笠井 翔太 and 美濃 由紀子 and 牧野 貴樹},
yomi = {Shota Kasai and Yukiko Mino and Takaki Makino},
booktitle = {日本心理学会 第76回大会 論文集},
year = 2012,
month = sep,
pages = {1AMD05}
}
@inproceedings{Makino:2012e:Rfj,
title = {{MMPI}-2再構成フォームにおける精神病質的逸脱 ({Pd}) 臨床尺度},
author = {牧野 貴樹 and 笠井 翔太 and 美濃 由紀子},
yomi = {Takaki Makino and Shota Kasai and Yukiko Mino},
booktitle = {日本心理学会 第75回大会 論文集},
year = 2012,
month = sep,
pages = {1AMD07}
}
@article{Makino:2012b:Jrfjx,
title = {機械学習研究におけるプログラム開発と検証--モンテカルロ法に基づく確率推論計算を例として--},
author = {牧野 貴樹 and 合原 一幸},
yomi = {Takaki Makino and Kazuyuki Aihara},
journal = {人工知能学会論文誌},
volume = 27,
number = 4,
pages = {253--262},
year = 2012,
month = jul,
abstract = {It is not easy to test software used in studies of machine learning with statistical frameworks. In particular, software for randomized algorithms such as Monte Carlo methods compromises testing process. Combined with underestimation of the importance of software testing in academic fields, many software programs without appropriate validation are being used and causing problems. In this article, we discuss the importance of writing test codes for software used in research, and present a practical way for testing, focusing on programs using Monte Carlo methods.}
}
@misc{Makino:2012g:Ifj,
author = {牧野 貴樹},
title = {Mathematical Model of Communication with Machine Learning Approach},
howpublished = {情報理工実践プログラム特別講演会 (東京大学 情報理工学系研究科 創造情報学専攻) 招待講演},
year = 2012,
month = apr
}
@article{Matsuo:2012a:Rj,
author = {松尾 恒 and 牧野 貴樹},
title = {特定物体認識とマルコフ確率場によるモノクロ画像の自動彩色法},
journal = {電子情報通信学会技術研究報告},
volume = 112,
numer = 279,
month = nov,
year = {2012},
pages = {351-358},
note = {第15回情報論的学習理論ワークショップにて発表 (IBISML2012-83)}
}
@article{Kiwaki:2012b:Rj,
author = {木脇 太一 and 牧野 貴樹 and 合原 一幸},
title = {エントロピー最小化によるRestricted {Boltzmann} Machineの学習の正則化},
journal = {電子情報通信学会技術研究報告},
volume = 112,
numer = 279,
month = nov,
year = {2012},
pages = {103-106},
note = {第15回情報論的学習理論ワークショップにて発表 (IBISML2012-48)}
}
@misc{Makino:2012h:Rfj,
author = {牧野 貴樹 and 小田 也寸志 and 合原 一幸},
yomi = {Takaki Makino and Yasushi Oda and Kazuyuki Aihara},
title = {{POMDP} ポリシーの高速再計算法と勾配計算法},
month = nov,
year = {2012},
howpublished = {情報論的学習理論ワークショップ (IBIS2012) ポスター発表 (東京)}
}
@article{takahashi:2012:J,
title = {An Experimental Comparison of Quantum Decision Theoretical Models of Intertemporal Choice for Gain and Loss},
author = {Takahashi, Taiki and Nishinaka, Hiroshi and Makino, Takaki and Han, Ruokang and Fukui, Hiroki},
journal = {Journal of Quantum Information Science},
volume = {2},
number = {04},
pages = {119},
year = {2012},
publisher = {Scientific Research Publishing},
url = {https://www.researchgate.net/publication/272667123_An_Experimental_Comparison_of_Quantum_Decision_Theoretical_Models_of_Intertemporal_Choice_for_Gain_and_Loss}
}
@article{sainaa:2013:A,
title = {Auto-pooling: Learning to Improve Invariance of Image Features from Image Sequences},
author = {Sainbayar Sukhbaatar and Takaki Makino and Kazuyuki Aihara},
journal = {arXiv preprint arxiv:1301.3323},
year = {2013},
url = {https://arxiv.org/abs/1301.3323}
}
@inproceedings{Makino:2013a:Orfx,
author = {Takaki Makino and Yukiko Iwata and Yutaka Jitsumatsu and Masao Hotta and Hao San and Kazuyuki Aihara},
title = {Rigorous Analysis of Quantization Error of an {A/D} Converter Based on {$\beta$}-Map},
booktitle = {Proceedings of 2013 IEEE International Symposium on Circuits and Systems (ISCAS)},
year = 2013,
month = may,
location = {Beijing},
}
@article{Makino:2013b:Yfj,
title = {リレー解説「強化学習の最近の発展」にあたって},
author = {牧野 貴樹 and 澁谷 長史},
yomi = {Takaki Makino and Takeshi Shibuya},
pages = {64-67},
volume = 52,
number = 1,
journal = {計測と制御},
year = 2013,
month = jan,
publisher = {計測自動制御学会},
address = {東京}
}
@article{Makino:2013c:Vfj,
title = {探索と利用のトレードオフとベイズ環境モデル --- リレー解説「強化学習の最近の発展」},
author = {牧野 貴樹},
yomi = {Takaki Makino},
pages = {154-161},
volume = 52,
number = 2,
journal = {計測と制御},
year = 2013,
month = feb,
publisher = {計測自動制御学会},
address = {東京}
}
@article{Makino:2013d:Lfaj,
title = {New Optimizer Algorithm for Model Design in Partially Observable Environments},
author = {Takaki Makino and Yasushi Oda and Kazuyuki Aihara},
journal = {生産研究},
year = 2013,
month = jun,
volume = 65,
number = 3,
pages = {315-318}
}
@misc{Makino:2013e:Hf,
title = {Recent trends in Deep Learning and restricted {B}oltzmann machines},
author = {Takaki Makino},
howpublished = {Keynote Speech at FIRST Theme Workshop 19: Deep Learning and Restricted Boltzmann Machines},
year = 2013,
month = mar
}
@article{Oku:2013a:Jra,
author = {Makito Oku and Takaki Makino and Kazuyuki Aihara},
title = {Pseudo-orthogonalization of memory patterns for associative memory},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
pages = {1877-1887},
volume = 24,
number = 11,
year = 2013
}
@inproceedings{Makino:2013f:ITfaj,
author = {牧野 貴樹 and 岩田 友紀子 and 實松 豊 and 堀田 正生 and 傘 昊 and 合原 一幸},
yomi = {Takaki Makino and Yukiko Iwata and Yutaka Jitsumatsu and Masao Hotta and Hao San and Kazuyuki Aihara},
title = {β変換器の量子化誤差に関する理論的解析},
month = sep,
year = {2013},
booktitle = {電子情報通信学会技術報告},
volume = 113,
number = 224,
pages = {41--44},
note = {招待講演 (CAS2013-43, NLP2013-55)},
}
@article{Tsuboi:2013a:Vj,
title = {自然言語処理における逆強化学習・模倣学習の適用},
author = {坪井 祐太 and 牧野 貴樹},
yomi = {Yuta Tsuboi and Takaki Makino},
volume = 52,
number = 10,
journal = {計測と制御},
year = 2013,
month = oct,
publisher = {計測自動制御学会},
address = {東京},
pages = {922-927}
}
@inproceedings{Makino:2013g:Rfj,
title = {{MMPI}-2 再構成フォームにおける{H}ysteria ({Hy}) 臨床尺度},
author = { 牧野 貴樹 and 笠井 翔太 and 美濃 由紀子 },
yomi = {Takaki Makino and Shota Kasai},
booktitle = {日本心理学会 第77回大会 論文集},
year = 2013,
pages = {2EV-069},
month = sep
}
@inproceedings{Mino:2013a:Rj,
title = {{MMPI}-2 臨床尺度群中の{H}ysteria尺度({Hy})と内容・補助尺度群との関連},
author = { 美濃 由紀子 and 笠井 翔太 and 牧野 貴樹 },
yomi = {Yukiko Mino and Shota Kasai},
booktitle = {日本心理学会 第77回大会 論文集},
year = 2013,
pages = {2AM-015},
month = sep
}
@article{Makino:2013g:Vfj,
title = {ハネルティスカッション: 強化学習 @ 2025 {A.D.} - 10年後の強化学習か目指すもの},
author = {牧野 貴樹 and 澁谷 長史 and 白川 真一},
yomi = {Takaki Makino and Takeshi Shibuya and Shinichi Shirakawa},
volume = 52,
number = 12,
journal = {計測と制御},
year = 2013,
month = dec,
publisher = {計測自動制御学会},
address = {東京},
note = {To Appear}
}
@patent{Oku:2013b:Ej,
author = {合原 一幸 and 牧野 貴樹 and 奥 牧人},
yomi = {Kazuyuki Aihara and Takaki Makino and Makito Oku},
title = {画像認識装置、画像認識方法、および、プログラム},
year = {2013},
month = {11},
day = {11},
filing_num = {特願2013-233400},
type = {日本国特許},
version = {},
location = {Japan},
yearfiled = {2013},
monthfiled = {11},
dayfiled = {11},
pat_refs = {}, ipc_class = {}, us_class = {},
abstract = {連想記憶モデルに記憶させる画像のパターン間の相関を取り除き、干渉の発生や記憶容量の低下を防ぐことができる、画像認識装置、画像認識方法、および、プログラムを提供することを課題とする。}
}
@patent{Oku:2013c:Ej,
author = {合原 一幸 and 牧野 貴樹 and 奥 牧人},
yomi = {Kazuyuki Aihara and Takaki Makino and Makito Oku},
title = {画像認識装置、画像認識方法、および、プログラム},
year = {2013},
month = {11},
day = {11},
filing_num = {特願2013-233401},
type = {日本国特許},
version = {},
location = {Japan},
yearfiled = {2013},
monthfiled = {11},
dayfiled = {11},
pat_refs = {}, ipc_class = {}, us_class = {},
abstract = {マスク化されたパターンが保存されている場合に、マスクパターンを用いずに、対応するパターンを取り出すことができる、画像認識装置、画像認識方法、および、プログラムを提供することを課題とする。}
}
@inproceedings{Oku:2013d:S,
author = {Makito Oku and Takaki Makino and Kazuyuki Aihara},
title = {A Simple Retrieval Method for Auto-associative Memory Model with {XNOR} Masking},
booktitle = {Proc. of the 3rd International Symposium on Innovative Mathematical Modeling},
month = nov,
pages = 65,
year = 2013
}
@inproceedings{Makino:2013h:Sf,
author = {Takaki Makino and Kazuyuki Aihara and Yasushi Oda},
title = {An Efficient Solver for {POMDP} Model Parameters},
booktitle = {Proc. of the 3rd International Symposium on Innovative Mathematical Modeling},
month = nov,
pages = 96,
year = 2013
}
@inproceedings{Kiwaki:2013a:S,
author = {Taichi Kiwaki and Takaki Makino and Kazuyuki Aihara},
title = {Controlling the Generalization Power of Restricted {B}oltzmann Machines},
booktitle = {Proc. of the 3rd International Symposium on Innovative Mathematical Modeling},
month = nov,
pages = 93,
year = 2013
}
@inproceedings{Shinohara:2013a:S,
author = {Katsutoshi Shinohara and Takaki Makino and Yukiko Iwata and Yutaka Jitsumatsu and Masao Hotta and Hao San and Kazuyuki Aihara},
title = {A Simple Estimate of the Quantization Error due to the Uncertainty of $\beta$-valuie for {A/D} Converter based on Beta-Map},
booktitle = {Proc. of the 3rd International Symposium on Innovative Mathematical Modeling},
month = nov,
pages = 118,
year = 2013
}
@inproceedings{Shiro:2013a:S,
author = {Masanori Shiro and Takaki Makino and Kazuyuki Aihara},
title = {Proposal of a New Method in Chemical Simulation},
booktitle = {Proc. of the 3rd International Symposium on Innovative Mathematical Modeling},
month = nov,
pages = 120,
year = 2013
}
@misc{Kiwaki:2013b:Sj,
author = {木脇 太一 and 牧野 貴樹 and 合原 一幸},
yomi = {Taichi Kiwaki and Takaki Makino and Kazuyuki Aihara},
title = {Infomation Maximization Training of Restricted {B}oltzmann Machines},
howpublished = {情報論的学習理論ワークショップ (IBIS2013) ポスター発表 (D-53) (東京)},
year = 2013
}
@article{kiwaki:2013:A,
title = {Approximated Infomax Early Stopping: Revisiting Gaussian {RBM}s on Natural Images},
author = {Kiwaki, Taichi and Makino, Takaki and Aihara, Kazuyuki},
journal = {arXiv preprint arXiv:1312.5412},
year = {2013},
url = {https://arxiv.org/abs/1312.5412}
}
@article{takahashi:2013:J,
title = {The {\it q}-exponential probability discounting of gain and loss},
author = {Takahashi, Taiki and Han, Ruokang and Nishinaka, Hiroshi and Makino, Takaki and Fukui, Hiroki},
journal = {Applied Mathematics},
volume = {4},
number = {06},
pages = {876},
year = {2013},
publisher = {Scientific Research Publishing},
url = {https://www.researchgate.net/publication/271296083_The_q_-Exponential_Probability_Discounting_of_Gain_and_Loss}
}
@inproceedings{makino:2014a:Qj,
title = {部分観測環境のパラメトリック記述に基づく高速モデルパラメータ逆強化学習プログラム},
author = {牧野 貴樹 and 城 真範 and 合原 一幸},
booktitle = {人工知能学会全国大会論文集 第 28 回全国大会 (2014)},
pages = {2H11},
year = {2014},
organization = {一般社団法人 人工知能学会}
}
@misc{makino:2014b:Z,
title = {{LUKE}---learning underlying knowledge of experts---User Manual},
author = {Makino, Takaki and Shiro, Masanori},
howpublished = {Distributed with OSS software LUKE},
year = {2014}
}
@article{Makino:2014c:Lfj,
title = {実用化する強化学習研究},
author = {牧野貴樹},
journal = {生産研究},
volume = {66},
number = {3},
pages = {305--308},
year = {2014},
publisher = {東京大学生産技術研究所}
}
@article{takahashi:2014:J,
title = {Neuroeconomics of psychopathy: risk taking in probability discounting of gain and loss predicts psychopathy},
author = {Takahashi, Taiki and Takagishi, Haruto and Nishinaka, Hirofumi and Makino, Takaki and Fukui, Hiroki},
journal = {Neuroendocrinology Letters},
volume = {35},
number = {6},
pages = {510--517},
year = {2014},
url = {https://www.researchgate.net/publication/269115275_Neuroeconomics_of_psychopathy_Risk_taking_in_probability_discounting_of_gain_and_loss_predicts_psychopathy}
}
@article{makino:2015a:W,
title = {Finding more mobile-friendly search results},
author = {Makino, Takaki and Jung, Chaesang and Phan, Doantam},
journal = {Official Google Webmaster Central Blog},
volume = {21},
url = {https://webmasters.googleblog.com/2015/02/finding-more-mobile-friendlysearch.html},
year = {2015}
}
@article{makino:2015b:W,
title = {Rolling out the mobile-friendly update},
author = {Makino, Takaki and Phan, Doantam},
journal = {Official Google Webmaster Central Blog},
volume = {21},
url = {https://webmasters.googleblog.com/2015/04/rolling-out-mobile-friendly-update.html},
year = {2015}
}
@article{makino:2015c:Jx,
title = {Rigorous estimates of quantization error for {A/D} converters based on beta-map},
author = {Makino, Takaki and Iwata, Yukiko and Shinohara, Katsutoshi and Jitsumatsu, Yutaka and Hotta, Masao and San, Hao and Aihara, Kazuyuki},
journal = {Nonlinear Theory and Its Applications, IEICE},
volume = {6},
number = {1},
pages = {99--111},
year = {2015},
publisher = {The Institute of Electronics, Information and Communication Engineers},
url = {https://www.jstage.jst.go.jp/article/nolta/6/1/6_99/_article}
}
@article{makino:2016:Bfjx,
title = {これからの強化学習},
author = {牧野 貴樹 and 澁谷 長史 and 白川 真一 and 浅田 稔 and 麻生 英樹 and 荒井 幸代 and 飯間 等 and 伊藤 真 and 大倉 和博 and 黒江 康明 and 杉本 徳和 and 坪井 裕太 and 銅谷 賢治 and 松井 藤五郎 and 前田 新一 and 宮崎 和光 and 南 泰浩 and 目黒 豊美 and 森村 哲郎 and 森本 淳 and 保田 俊行 and 吉本 潤一郎},
year = {2016},
isbn = {4627880316},
publisher = {森北出版}
}
@book{aihara:2017:Bj,
title = {人工知能はこうして創られる},
author = {合原 一幸 and 牧野 貴樹 and 金山 博 and 河野 崇 and 木脇 太一 and 青野 真士},
year = 2017,
isbn = {4863101856},
publisher = {ウエッジ}
}
@incollection{makino:2017a:Cfj,
title = {徒弟学習と逆強化学習},
author = {牧野 貴樹},
booktitle = {人工知能学大事典},
publisher = {共立出版},
year = 2017,
pages = {305--307},
isbn = {978-4-320-12420-2}
}
@inproceedings{makino:2018a:ITfj,
title = {[チュートリアル講演]強化学習の実践的問題への応用と課題},
month = jun,
year = 2018,
booktitle = {IEICE Technical Report},
volume = 118,
number = 126,
pages = {129},
note = {チュートリアル講演 (SR2018-48)},
url = {https://www.ieice.org/ken/paper/20180712w14U/}
}
@inproceedings{makino:2019a:Pfx,
title = {Recurrent Neural Network Transducer for Audio-Visual Speech Recognition},
author = {Makino, Takaki and Liao, Hank and Assael, Yannis and Shillingford, Brendan and Garcia, Basilio and Braga, Otavio and Siohan, Olivier},
booktitle = {IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2019)},
url = {https://arxiv.org/abs/1911.04890},
year = {2019}
}

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