Full Publication List (in category)

[Journals] [Technical Reports] [Dissertations] [International Conferences] [Other Conferences] [Patents and IPs] [Others]

Journal Articles, Chapters

[132] Takaki Makino. Apprenticeship learning and inverse reinforcement learning. In Encyclopedia of Artificial Intelligence, pages 305-307. Kyoritsu Publishing, 2017. (In Japanese). [ bib ]
[129] Takaki Makino, Yukiko Iwata, Katsutoshi Shinohara, Yutaka Jitsumatsu, Masao Hotta, Hao San, and Kazuyuki Aihara. Rigorous estimates of quantization error for A/D converters based on beta-map. Nonlinear Theory and Its Applications, IEICE, 6(1):99-111, 2015. [ bib | http ]
[126] Taiki Takahashi, Haruto Takagishi, Hirofumi Nishinaka, Takaki Makino, and Hiroki Fukui. Neuroeconomics of psychopathy: risk taking in probability discounting of gain and loss predicts psychopathy. Neuroendocrinology Letters, 35(6):510-517, 2014. [ bib | http ]
[125] Takaki Makino. Reinforcement learning studies being practicalized. Seisan-kenkyu, 66(3):305-308, 2014. (In Japanese). [ bib ]
[122] Taiki Takahashi, Ruokang Han, Hiroshi Nishinaka, Takaki Makino, and Hiroki Fukui. The q-exponential probability discounting of gain and loss. Applied Mathematics, 4(06):876, 2013. [ bib | http ]
[109] Makito Oku, Takaki Makino, and Kazuyuki Aihara. Pseudo-orthogonalization of memory patterns for associative memory. IEEE Transactions on Neural Networks and Learning Systems, 24(11):1877-1887, 2013. [ bib ]
[107] Takaki Makino, Yasushi Oda, and Kazuyuki Aihara. New optimizer algorithm for model design in partially observable environments. Seisan-Kenkyu, 65(3):315-318, June 2013. (In Japanese). [ bib ]
[102] Taiki Takahashi, Hiroshi Nishinaka, Takaki Makino, Ruokang Han, and Hiroki Fukui. An experimental comparison of quantum decision theoretical models of intertemporal choice for gain and loss. Journal of Quantum Information Science, 2(04):119, 2012. [ bib | http ]
[97] Takaki Makino and Kazuyuki Aihara. Software development and testing for machine learning studies: With an example of probabilistic inference with Monte Carlo based methods. Transactions of the Japanese Society for Artificial Intelligence, 27(4):253-262, July 2012. In Japanese. [ bib | http | Abstract ]
[72] Yukiko Mino, Takaki Makino, and Masami Miyamoto. Current status and issues in treatment and care of mentally disordered offender in designated outpatient hospitals: on difficulties found by multi-disciplinary team staffs. Forensic Psychiatry, 6(1):2-9, 2011. In Japanese. [ bib ]
[67] Takaki Makino, Hisao Taki, and Kazuyuki Aihara. Altruistic behavior and recursive estimation of others' internal states. Seisan-Kenkyu, 62(3):259-265, May 2010. In Japanese. [ bib ]
[64] Yukiko Mino, Kumiko Ando, Takayuki Okada, Akiko Kikuchi, Masataka Sano, Takaki Makino, and Kazuo Yoshikawa. Study on monitoring designated outpatient institutes: Focusing on estimate of outpatient treatment duration and analysis on combined use of admission by mental health and welfare act. Clinical Psychiatry, 39(1):93-100, January 2010. In Japanese. [ bib ]
[61] Taiki Takahashi, Tarik Hadzibeganovic, Sergio A. Cannas, Takaki Makino, Hiroki Fukui, and Shinobu Kitayama. Cultural neuroeconomics of intertemporal choice. Neuroendocrinology Letters, 30(2):185-191, 2009. [ bib | .pdf | Abstract ]
[57] Takaki Makino. Self-organization of commucation. In Handbook of Self-organization, pages 438-443. NTS Pub, 2009. In Japanese. [ bib ]
[56] Yukiko Mino, Takayuki Okada, Akiko Kikuchi, Masataka Sano, Takaki Makino, and Kazuo Yoshikawa. Monitoring study for improving specialized treatments in designated inpatient institutions. Japanese Psychiatric Nursing Society, 52(2):233-237, 2009. In Japanese. [ bib ]
[44] Yukiko Mino, Takaki Makino, and Masami Miyamoto. Attitude survey for staffs at designated inpatient institutions for medical observation act. Japanese Psychiatric Nursing Society, 51(3):490-494, 2008. In Japanese. [ bib ]
[42] Taiki Takahashi, Takaki Makino, Yu Ohmura, and Hiroki Fukui. Employing delay and probability discounting frameworks for a neuroeconomic understanding of gambling behavior. In M. J. Esposito, editor, Psychology of Gambling, pages 67-82. Nova Science, 2008. [ bib ]
[38] Yukiko Mino, Takayuki Okada, Akiko Kikuchi, Takaki Makino, and Kazuo Yoshikawa. Status and issues in inpatient treatment under mental health welfare act during outpatient treatment under medical care and treatment act - monitoring investigation on designated outpatient treatment institutes. Shihou Seishin Igaku (Forensic Mental Health), 4(1):111, 2008. In Japanese. [ bib ]
[37] Takaki Makino. Failure, instead of inhibition, should be monitored for the distinction of self/other and actual/possible actions. Behavioral and Brain Sciences, 31(1):32-33, 2008. A commentary for Susan Hurley's article “The Shared Circuits Model: How Control, Mirroring and Simulation Can Enable Imitation, Deliberation, and Mindreading”. [ bib | Abstract ]
[32] Takaki Makino, Kotaro Hirayama, and Kazuyuki Aihara. Understanding others: Possible links among parity, mirror neurons, and communication. Behavioral Brain & Sciences, 2005. (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/. [ bib | Abstract ]
[26] Takaki Makino. A discrete-event neural network simulator for general neuron models. Neural Computing & Applications, 11:210-223, 2003. [ bib | .pdf | Abstract ]
[23] Takaki Makino, Yusuke Miyao, Kentaro Torisawa, and Jun-ichi Tsujii. Native-code compilation of feature structures. In Stephan Oepen, Dan Flickinger, Jun-ichi Tsujii, and Hans Uszkoreit, editors, Collaborative Language Engineering: A Case Study in Efficient Grammar-based Processing. CSLI Publications, Stanford, CA, 2003. [ bib | .ps.gz | .pdf ]
[14] Yusuke Miyao, Takaki Makino, Kentaro Torisawa, and Jun-ichi Tsujii. The LiLFeS abstract machine and its evaluation with the LinGO grammar. Natural Language Engineering, 6(1):47-61, 2000. (Special Issue on Efficient Processing with HPSG). [ bib | .ps.gz | Abstract ]

Technical Reports

[133] Tutorial talk: Applying reinforcement learning to practical problems. In IEICE Technical Report, volume 118, page 129, June 2018. (SR2018-48). [ bib | http ]
[110] Takaki Makino, Yukiko Iwata, Yutaka Jitsumatsu, Masao Hotta, Hao San, and Kazuyuki Aihara. Theoretical analysis on quantization error of β-encoder. In IEICE Technical Report, volume 113, pages 41-44, September 2013. Invited Talk (CAS2013-43, NLP2013-55). [ bib | http ]
[69] Takaki Makino. Statistical machine learning based on nonparametric bayesian models. IEICE Technical Report IBISML2010-14, Institute of Electronics, Information and Communication Engineers, June 2010. In Japanese. [ bib ]
[27] Takaki Makino and Kazuyuki Aihara. Self-observation principle for estimating the other's internal state - a new computational theory of communication. Mathematical Engineering Technical Reports METR 2003-36, Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo, October 2003. Revised version (based on comments from an English native) (.pdf) and Unofficial Japanese version (.pdf) is also available in addition to the original version (.pdf). [ bib | .pdf | Abstract ]

Degree Theses/Dissertations

[17] Takaki Makino. A Pulsed Neural Network for Language Understanding: Discrete-Event Simulation of a Short-Term Memory Mechanism and Sentence Understanding. Ph.D. dissertation, Department of Information Science, Graduate School of Science, Tokyo University, Tokyo, Japan, December 2001. [ bib | .ps.gz | .pdf | Abstract ]
[12] Takaki Makino. A native-code compiler for a unification-based programming language with typed feature structures. Master's thesis, Department of Information Science, Graduate School of Science, University of Tokyo, Tokyo, Japan, 1999. [ bib | .ps.gz | Abstract ]
[2] Takaki Makino. Implementation of an efficient feature structure abstract machine. A Senior thesis, Department of Information Science, the University of Tokyo, 1997. [ bib | .ps.gz | Abstract ]

International Conferences

[134] Takaki Makino, Hank Liao, Yannis Assael, Brendan Shillingford, Basilio Garcia, Otavio Braga, and Olivier Siohan. Recurrent neural network transducer for audio-visual speech recognition. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2019), 2019. [ bib | http ]
[104] Takaki Makino, Yukiko Iwata, Yutaka Jitsumatsu, Masao Hotta, Hao San, and Kazuyuki Aihara. Rigorous analysis of quantization error of an A/D converter based on β-map. In Proceedings of 2013 IEEE International Symposium on Circuits and Systems (ISCAS), May 2013. [ bib | .pdf ]
[93] Takaki Makino and Johane Takeuchi. Apprenticeship learning for model parameters of partially observable environments. Poster presentation in EWRL10: the 10th European Workshop on Reinforcement Learning, July 2012. [ bib ]
[92] Takaki Makino and Johane Takeuchi. Apprenticeship learning for model parameters of partially observable environments. In ICML '12: Proceedings of the 29th Annual international conference on machine learning, June 2012. [ bib | .pdf | Abstract ]
[87] Chiyori Urabe, Takaki Makino, and Kazuyuki Aihara. On noisy dynamical systems: logistic maps and quasi-periodically forced systems. Presented in the 4th Developers Workshop on the Conley-Morse Database Project, Kauai, Hawaii, March 2012. [ bib ]
[86] Takaki Makino, Chiyori Urabe, and Kazuyuki Aihara. Applicability of Conley-Morse graphs to controlled and noisy dynamical systems. Presented in the 4th Developers Workshop on the Conley-Morse Database Project, Kauai, Hawaii, March 2012. [ bib ]
[74] Sainbayar Sukhbaatar, Takaki Makino, Kazuyuki Aihara, and Takashi Chikayama. Robust generation of dynamical patterns in human motion by a deep belief net. Journal of Machine Learning Research - Proceedings Track, 20:231-246, 2011. Presented in the 3rd Asian Conference on Machine Learning (ACML 2011). [ bib | .pdf ]
[71] Takaki Makino. Slice sampling for Chinese restaurant process. In Proc. of the 2nd Asian Conference on Machine Learning (ACML 2010). 2010. [ bib ]
[70] Steven Kraines, Takaki Makino, Weisen Guo, Haruo Mizutani, and Toshihisa Takagi. Bridging the knowledge gap between research and education through textbooks. In Advances in Web-Based Learning - ICWL 2010 : 9th International Conference, China, Proceedings, volume 6483 of Lecture Notes in Computer Science, pages 121-130. Springer, 2010. [ bib ]
[60] Takaki Makino, Shunsuke Takei, Daichi Mochihashi, Issei Sato, and Toshihisa Takagi. Conditional simultaneous draws from hierarchical Chinese restaurant processes. Poster Presentation at Nonparametric Bayes Workshop at NIPS 2009 (NPBayes2009), December 2009. [ bib ]
[55] Takaki Makino, Taiki Takahashi, Hirofumi Nishinaka, and Hiroki Fukui. Probabilistic discounting for modeling behaviors in Iowa gambling task. In Proceedings of Multi-disciplinary Symposium on Reinforcement Learning (MSRL 2009). June 2009. [ bib ]
[54] Takaki Makino. Proto-predictive representation of states with simple recurrent temporal-difference networks. In Léon Bottou and Michael Littman, editors, ICML '09: Proceedings of the 26th Annual international conference on machine learning, pages 697-704, Montreal, June 2009. Omnipress. [ bib | .pdf | Abstract ]
[43] Takaki Makino, Taiki Takahashi, and Hiroki Fukui. Modeling decision mechanism as a reinforcement learning with probabilistic discounting. In Proceedings of the 2nd WFSBP Asia-Pacific Congress, volume 30, page 157, September 2008. [ bib ]
[41] Takaki Makino and Toshihisa Takagi. On-line discovery of temporal-difference networks. In Andrew McCallum and Sam Roweis, editors, ICML '08: Proceedings of the 25th Annual International Conference on Machine Learning, pages 632-639. Omnipress, 2008. [ bib | .pdf | Abstract ]
[33] Takaki Makino and Kazuyuki Aihara. Multi-agent reinforcement learning algorithm to handle beliefs of other agents' policies and embedded beliefs. In Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'06), pages 789-791, Hakodate, Hokkaido, May 2006. [ bib | .pdf | Abstract ]
[30] Takaki Makino and Kazuyuki Aihara. Cooperative behavior of agents that model the other and the self in noisy iterated prisoners' dilemma simulation. In Proceedings of 2005 4th IEEE International Conference on Development and Learning (ICDL'05), pages 52-57, 2005. [ bib ]
[29] Takaki Makino and Jianfeng Feng. Configuring spiking neural networks for given spatio-temporal patterns. In Proceedings of 2004 International Workshop on Biologically Inspired Computing, Sendai, Miyagi, November 2004. [ bib ]
[28] Takaki Makino and Kazuyuki Aihara. Self-observation principle for estimating peers' internal state - new computational theory on communication. In Proceedings of the 2nd international symposium on emergent mechanism of communication in the brain, Awaji-shima, Hyogo, March 2004. [ bib | .pdf ]
[21] Takashi Ninomiya, Takaki Makino, and Jun'ichi Tsujii. An indexing scheme for typed feature structures. In Proceedings of the 19th International Conference on Computational Linguistics, Taipei, Taiwan, October 2002. [ bib | .ps.gz | .pdf | Abstract ]
[20] Jun'ichi Kazama, Takaki Makino, Yoshihiro Ohta, and Jun'ichi Tsujii. Tuning support vector machines for biomedical named entity recognition. In Proceedings of the ACL-02 Workshop on Natural Language Processing in the Biomedical Domain, volume 3, Philadelphia, PA, USA, July 2002. [ bib | .ps | .pdf ]
[19] Junko Araki, Takashi Ninomiya, Takaki Makino, and Jun'ichi Tsujii. Two perspective systems using a route as a reference object. In Proceedings of the sixth World Multiconference on Systemics, Cybernetics and Informatics (SCI 2002), 2002. [ bib | .ps ]
[18] Junko Araki, Takashi Ninomiya, Takaki Makino, and Jun'ichi Tsujii. Action vectors for interpreting route descriptions. In Proceedings of the AAAI-02 Workshop on Spatial and Temporal Reasoning, 2002. [ bib | .ps ]
[16] Takaki Makino, Kazuyuki Aihara, and Jun-ichi Tsujii. Towards sentence understanding: Phase arbitration in temporal-coding memory mechanism. In Proceedings of the Second Workshop on Natural Language Processing and Neural Networks (NLPNN'2001), pages 46-52, Tokyo, Japan, 2001. [ bib | .pdf | Abstract ]
[13] Minoru Yoshida, Takashi Ninomiya, Kentaro Torisawa, Takaki Makino, and Jun'ichi Tsujii. Efficient FB-LTAG parser and its parallelization. In Proceedings of the Pacific Association for Computational Linguistics (PACLING) '99, pages 90-103, Waterloo, Canada, 1999. [ bib | .pdf ]
[7] Takaki Makino, Minoru Yoshida, Kentaro Torisawa, and Jun-ichi Tsujii. LiLFeS - towards a practical HPSG parser. In Proceedings of the 17th International Conference on Computational Linguistics and the 36th Annual Meeting of the Association for Computational Linguistics, pages 807-811, Montreal, Canada, 1998. [ bib | .ps.gz | Abstract ]
[5] Kenji Nishida, Takaki Makino, Kentaro Torisawa, Yuka Tateisi, and Jun-ichi Tsujii. Extension of a feature structure abstract machine for partial unification. In Proceedings of the Conference of Pacific Association for Computational Linguistics (PACLING '97), pages 232-243, Ohme, Japan, 1997. [ bib | .ps.gz | Abstract ]
[4] Takaki Makino, Kentaro Torisawa, and Jun-ichi Tsujii. LiLFeS - practical programming language for typed feature structures. In Proceedings of the 4th Natural Language Processing Pacific Rim Symposium, pages 239-244, Phuket, Thailand, 1997. [ bib | .ps.gz | Abstract ]

Other Conferences

[123] Takaki Makino, Masanori Shiro, and Kazuyuki Aihara. An efficient model-parameter inverse reinforcement learning software based on parametric description of partially-observable Markov decision process. In Proc. of 28th Annual Conference of Japan Society for Artifical Intelligence, page 2H11. Japan Society for Artificial Intelligence, 2014. [ bib ]
[120] Taichi Kiwaki, Takaki Makino, and Kazuyuki Aihara. Infomation maximization training of restricted Boltzmann machines. Poster Presentation in Information-Based Induction Science Workshop (IBIS2013) Discussion Track (D-53), 2013. [ bib ]
[119] Masanori Shiro, Takaki Makino, and Kazuyuki Aihara. Proposal of a new method in chemical simulation. In Proc. of the 3rd International Symposium on Innovative Mathematical Modeling, page 120, November 2013. [ bib ]
[118] Katsutoshi Shinohara, Takaki Makino, Yukiko Iwata, Yutaka Jitsumatsu, Masao Hotta, Hao San, and Kazuyuki Aihara. A simple estimate of the quantization error due to the uncertainty of β-valuie for A/D converter based on beta-map. In Proc. of the 3rd International Symposium on Innovative Mathematical Modeling, page 118, November 2013. [ bib ]
[117] Taichi Kiwaki, Takaki Makino, and Kazuyuki Aihara. Controlling the generalization power of restricted Boltzmann machines. In Proc. of the 3rd International Symposium on Innovative Mathematical Modeling, page 93, November 2013. [ bib ]
[116] Takaki Makino, Kazuyuki Aihara, and Yasushi Oda. An efficient solver for POMDP model parameters. In Proc. of the 3rd International Symposium on Innovative Mathematical Modeling, page 96, November 2013. [ bib ]
[115] Makito Oku, Takaki Makino, and Kazuyuki Aihara. A simple retrieval method for auto-associative memory model with XNOR masking. In Proc. of the 3rd International Symposium on Innovative Mathematical Modeling, page 65, November 2013. [ bib ]
[101] Takaki Makino, Yasushi Oda, and Kazuyuki Aihara. Efficient re-calculation method and gradient computation for POMDP policies. Poster Presentation at Information-Based Induction Sciences Workshop (IBIS2012), November 2011. [ bib ]
[100] Taichi Kiwaki, Takaki Makino, and Kazuyuki Aihara. Regularization of restricted Boltzmann machine learning through entropy minimization. IEICE Technical Report, 112:103-106, November 2012. Presented in Information-Based Induction Sciences Workshop 2012 (IBISML2012-48), In Japanese. [ bib ]
[99] Hitoshi Matsuo and Takaki Makino. Auto-colorization of monochrome image using object recognition and Markov random field. IEICE Technical Report, 112:351-358, November 2012. Presented in Information-Based Induction Sciences Workshop 2012 (IBISML2012-83), In Japanese. [ bib ]
[96] Takaki Makino, Shota Kasai, and Yukiko Mino. Clinical scale for psychopathic deviate in MMPI-2 Restructured Form. In Proc. of the 76th Annual Convention of Japanese Psychological Association, page 1AMD07, September 2012. In Japanese. [ bib ]
[95] Shota Kasai, Yukiko Mino, and Takaki Makino. Correlation between OBS and other basic/content scales of MMPI-2 with special reference to Pt. In Proc. of the 76th Annual Convention of Japanese Psychological Association, page 1AMD05, September 2012. In Japanese. [ bib ]
[94] Yukiko Mino, Takaki Makino, and Shota Kasai. Correlation of psychopathic deviate scale (Pd) with content and supplementary scales in MMPI-2. In Proc. of the 76th Annual Convention of Japanese Psychological Association, page 1AMD06, September 2012. In Japanese. [ bib ]
[91] Rie Suzuki, Hao San, Masao Hotta, and Takaki Makino. Robust cyclic ADC based on β-expansion. In Proc. of the 2nd International Symposium on Innovative Mathematical Modeling, page 116, May 2012. [ bib ]
[90] Taichi Kiwaki, Takaki Makino, and Kazuyuki Aihara. A heuristic algorithm for finding the simplest expression of the structure in data. In Proc. of the 2nd International Symposium on Innovative Mathematical Modeling, page 109, May 2012. [ bib ]
[89] Sainbayar Sukhbaatar, Takaki Makino, Kazuyuki Aihara, and Takashi Chikayama. Robust generation of dynamical patterns in human motion by a deep belief net. In Proc. of the 2nd International Symposium on Innovative Mathematical Modeling, May 2012. [ bib ]
[88] Takaki Makino and Johane Takeuchi. Learning model parameters of partially observable markov decision process from demonstration. In Proc. of the 2nd International Symposium on Innovative Mathematical Modeling, page 68. May 2012. [ bib ]
[85] Takaki Makino and Johane Takeuchi. Apprenticeship learning for model parameters of partially observable environments. Technical Reports of IEICE, 111(480):49-54, March 2012. IBISML2011-94. [ bib | http ]
[84] Hirotaka Hachiya, Tetsuro Morimura, Takaki Makino, and Masashi Sugiyama. Modified Newton approach to policy search. In IEICE Tech. Rep., volume 111 of IBISML2011-54, pages 79-85, Nara, November 2011. Wed, Nov 9, 2011 - Fri, Nov 11 : Nara Womens Univ. (IBISML). [ bib ]
[81] Takaki Makino, Haruo Mizutani, Jun Kozuka, and Issei Sato. Beam hardening reduction by x-ray ct reconstruction with bayesian inference. Poster Presentation at Information-Based Induction Sciences Workshop (IBIS2011), November 2011. [ bib ]
[80] Takaki Makino and Kazuyuki Aihara. A simulation environment for mutual estimation of peers' internal state. In Proc. of the 1st International Symposium on Innovative Mathematical Modeling. 2011. [ bib ]
[79] Tohru Oguchi, Yukiko Mino, Shota Kasai, Takaki Makino, and Yoshio Otani. Addiction scales (APS,AAS) in supplementary scales of MMPI-2. In Proc. of the 75th Annual Convention of Japanese Psychological Association, page 2PM003, September 2011. In Japanese. [ bib ]
[78] Shota Kasai, Yukiko Mino, Takaki Makino, and Tohru Oguchi. College maladjustment scale in supplementary scales features of MMPI-2. In Proc. of the 75th Annual Convention of Japanese Psychological Association, page 2PM004, September 2011. In Japanese. [ bib ]
[77] Yukiko Mino, Takaki Makino, Shota Kasai, and Tohru Oguchi. MMPI-2 restructured clinical scales and MMPI-2 restructured form. In Proc. of the 75th Annual Convention of Japanese Psychological Association, page 2PM005, September 2011. In Japanese. [ bib ]
[76] Yuka Yamazaki, Takaki Makino, Ryo Fujie, and Kazuyuki Aihara. Evolutionary game based on similarity of preference among neighbor agents: Simulation of unification and schism. Presented at Inauguration Symposirum of Meiji Institute for Advanced Study of Mathematical Sciences, October 2011. [ bib ]
[75] Mai Ohguro, Takaki Makino, Ryo Fujie, and Kazuyuki Aihara. Personal control strategy in a three-person game with indirect information. Presented at Inauguration Symposirum of Meiji Institute for Advanced Study of Mathematical Sciences, October 2011. [ bib ]
[63] Hirofumi Nishinaka, Taiki Takahashi, Takaki Makino, and Hiroki Fukui. Decisions under psychopayhic tendency: investigation from neuroeconomics. In Proceedings of the 31th Conference of Japanese Society of Biological Psychiatry, page 174, June 2009. In Japanese. [ bib ]
[59] Shunsuke Takei, Takaki Makino, and Toshihisa Takagi. Split position slice sampler. In Technical Report on Information-Based Induction Sciences 2009 (IBIS2009). October 2009. In Japanese. [ bib | .pdf | Abstract ]
[58] Takaki Makino. Hierarchical state infinite hidden markov model. Poster Presentation at Workshop on Information-Based Induction Sciences 2009 (IBIS2009), October 2009. [ bib ]
[53] Takaki Makino, Taiki Takahashi, Hirofumi Nishinaka, and Hiroki Fukui. Correlation analysis of cognitive probabilistic discounting for Iowa gambling task action selection. In Proc. of the 31st conference on Japanese Society of Biological Psychiatry, volume 31, page 179, April 2009. In Japanese. [ bib ]
[52] Takaki Makino, Taiki Takahashi, Hirofumi Nishinaka, and Hiroki Fukui. Correlation analysis between cognitions and actions under probabilistic discounting model. In Proc. of the 48th Conference of Japanese Society for Medical and Biological Engineering, April 2009. In Japanese. [ bib ]
[50] Kanemitsu Akiya, Takaki Makino, Steven Kraines, and Toshihisa Takagi. Extracting various binary relations from biomedical papers using natural language processing techniques and ontology. In Proceedings of the 15th Annual Meeting of the Association for Natural Language Processing, March 2009. [ bib ]
[49] Takaki Makino. Simple recurrent temporal-difference networks. In Presented in Workshop on Information-Based Induction Sciences (IBIS2008), October 2008. [ bib ]
[48] Masanori Shiro, Takaki Makino, and Kazuyuki Aihara. Prediction on non-linear temporal sequence using liquid state machine model. In Oral Presentation at the 18th National Conference of Japanese Neural Network Society, September 2008. In Japanese. [ bib | .pdf ]
[47] Masanori Shiro, Takaki Makino, and Kazuyuki Aihara. Anticipating non-linear information using liquid state machine. In Proc. of the 9th Summer Workshop on the Mechanism of Brain and Mind, August 2008. In Japanese. [ bib ]
[46] Yohei Akada, Takaki Makino, and Toshihisa Takagi. A mechanism of rule abstraction through interaction with environment. In Oral presentation at the 22nd Annual Conference of the Japanese Society for Artificial Intelligence, June 2008. In Japanese. [ bib | .pdf ]
[45] Masanori Shiro, Takaki Makino, and Kazuyuki Aihara. Investigation on information separation using integrate-and-fire neuron model. In Oral presentation at the 22nd Annual Conference of the Japanese Society for Artificial Intelligence, June 2008. In Japanese. [ bib | .pdf ]
[40] Takaki Makino and Kazuyuki Aihara. Self-observation principle: Mathematical framework of recognizing others. In Oral presentation at the 22nd Annual Conference of the Japanese Society for Artificial Intelligence, June 2008. In Japanese. [ bib | .pdf | Abstract ]
[39] Takaki Makino. Automatic acquisition of TD-network in POMDP environments: Extension with SRN structure. In Oral presentation at the 22nd Annual Conference of the Japanese Society for Artificial Intelligence, June 2008. [ bib | .pdf | Abstract ]
[34] Takaki Makino and Kazuyuki Aihara. Theoretical model and simulation study for mutual understanding of others. In Proc. of the Joint Conference of Welfare, Wellbeing, and Life Support, volume 5, page 33, 2007. In Japanese. [ bib ]
[31] Takaki Makino and Kazuyuki Aihara. The self-observation principle and iterated prisoners' dilemma, January 2005. Presented by poster in the 5th winter workshop of the Mechanism of the Brain and Mind, Hokkaido, Japan. In Japanese. [ bib | Abstract ]
[25] Takaki Makino and Kazuyuki Aihara. Self-organizing map constructed by synaptic time-dependent plasticity, August 2003. Presented by poster in the 4th summer workshop of the Mechanism of the Brain and Mind, Niigata, Japan. In Japanese. [ bib | .pdf | Abstract ]
[24] Takaki Makino and Kazuyuki Aihara. Hypothesis of brain processing on time stream and language, January 2003. Presented by poster in the 3rd winter workshop of the Mechanism of the Brain and Mind, Hokkaido, Japan. In Japanese. [ bib | Abstract ]
[22] Takaki Makino and Kazuyuki Aihara. Impact of computational theory of language understanding for development of neural network model. In Proceedings of the 12th conference of Japan Neural Network Society, Tottori, September 2002. Received 2002 Promotion Award of Japan Neural Network Society. [ bib | .pdf | Abstract ]
[11] Kunihiko Sadamasa, Takaki Makino, Yutaka Mitsuishi, Kentaro Torisawa, Kouichi Matsuda, and Jun-ichi Tsujii. Personal agent natural language interface (PANLI) development toolkit. In Proceedings of the 5th Annual Meeting of the Association for Natural Language Processing, pages 393-396, Tokyo, 1999. (In Japanese). [ bib ]
[10] Jun-ichi Kazama, Yutaka Mitsuishi, Takaki Makino, Kentaro Torisawa, Kouichi Matsuda, and Jun-ichi Tsujii. Japanese morphorogy analysis for chatting. In Proceedings of the 5th Annual Meeting of the Association for Natural Language Processing, pages 509-512, Tokyo, 1999. (In Japanese). [ bib | .ps.gz | .pdf ]
[9] Kentaro Torisawa, Takaki Makino, Minoru Yoshida, Takashi Ninomiya, Kenji Nishida, Hideo Imai, Yutaka Mitsuishi, Hiroshi Kanayama, Yuka Tateisi, Yusuke Miyao, and Jun-ichi Tsujii. Practical HPSG parsers. In Proceedings of JSPS Annual Symposium on Intelligent Information and Advanced Information Processing, pages 46-50, 1999. [ bib | .ps.gz ]
[8] Minoru Yoshida, Takaki Makino, Kentaro Torisawa, and Jun-ichi Tsujii. Optimization techniques for a feature structure processing language LiLFeS. In Proceedings of the 4th Annual Meeting of the Association for Natural Language Processing, pages 93-96, Fukuoka, Japan, 1998. (in Japanese). [ bib ]
[6] Yuka Tateisi, Kentaro Torisawa, Takaki Makino, Kenji Nishida, Masachika Fuchigami, and Jun-ichi Tsujii. Conversion of LTAG english grammar to HPSG. In IPSJ SIG notes NL-122, pages 119-126, 1997. (In Japanese). [ bib | .ps.gz ]
[3] Takaki Makino, Kenji Nishida, Kentaro Torisawa, and Jun-ichi Tsujii. Feature structure abstract machine and realization of partial unification. In Proceedings of the 3rd Annual Meeting of the Association for Natural Language Processing, pages 193-196, Kyoto, Japan, 1997. (In Japanese). [ bib | .pdf ]

Patents and Intellectual Properties

[114] Kazuyuki Aihara, Takaki Makino, and Makito Oku. Image recognition device, image recognition method, and program. Japan patent, 2013/11/11. Japan Patent 2013-233401, 2013/11/11. [ bib ]
[113] Kazuyuki Aihara, Takaki Makino, and Makito Oku. Image recognition device, image recognition method, and program. Japan patent, 2013/11/11. Japan Patent 2013-233400, 2013/11/11. [ bib ]
[83] Jun Kozuka, Takaki Makino, and Haruo Mizutani. Image reconstruction device and program. Japan Patent JP-A-2013-5840, 2013/01/10. 2011-138833, 2013/06/22. [ bib ]

Others

[133] Tutorial talk: Applying reinforcement learning to practical problems. In IEICE Technical Report, volume 118, page 129, June 2018. (SR2018-48). [ bib | http ]
[124] Takaki Makino and Masanori Shiro. LUKE-learning underlying knowledge of experts-user manual. Distributed with OSS software LUKE, 2014. [ bib ]
[110] Takaki Makino, Yukiko Iwata, Yutaka Jitsumatsu, Masao Hotta, Hao San, and Kazuyuki Aihara. Theoretical analysis on quantization error of β-encoder. In IEICE Technical Report, volume 113, pages 41-44, September 2013. Invited Talk (CAS2013-43, NLP2013-55). [ bib | http ]
[108] Takaki Makino. Recent trends in deep learning and restricted Boltzmann machines. Keynote Speech at FIRST Theme Workshop 19: Deep Learning and Restricted Boltzmann Machines, March 2013. [ bib ]
[105] Takaki Makino and Takeshi Shibuya. Preface for relay reviews “recent development of reinforcemeent learning”. Journal of the Society of Instrument and Control Engineers, 52(1):64-67, January 2013. (In Japanese). [ bib ]
[98] Takaki Makino. Mathematical model of communication with machine learning approach. Information Science and Technology Application Program Special Talk (Invited Talk by Creative Informatics, Graduate School of Information Science and Technology, the University of Tokyo), April 2012. [ bib ]
[73] Takaki Makino. Reinforcement learning (my bookmark). Journal of Japan Artificial Intelligence Society, 26(3):301-303, 2011. [ bib | .html ]
[69] Takaki Makino. Statistical machine learning based on nonparametric bayesian models. IEICE Technical Report IBISML2010-14, Institute of Electronics, Information and Communication Engineers, June 2010. In Japanese. [ bib ]
[68] Takaki Makino. Conference report of ICML 2009. Journal of Japan Artificial Intelligence Society, 25(3):459-460, 2010. In Japanese. [ bib ]
[66] Takaki Makino. Hierarchical state clustering of hidden Markov models with hierarchical Dirichlet processes. Invited talk at the Keihanna Talk (Keihanna research center, NICT), April 2010. [ bib ]
[65] Takaki Makino. Nonparametric Bayesian estimation for hidden Markov model and MCMC method. Invited talk at the workshop of Markov chain Monte Carlo method and its surroundings (Institute of Statistical Mathematics), February 2010. [ bib ]
[36] Hiroki Fukui, Ryosaku Kawada, Masataka Sano, Yoko Takahashi, Toshihiro Taruya, Hirofumi Nishinaka, Takaki Makino, Naohisa Masuda, and Yohei Morisaki. Investigation on usefulness of functional brain imaging data in designated hospitals for inpatient care. In FY2007 Summary and Member Report of the Study on Monitoring for Improving Expert Treatment with Medical Treatment and Supervision Act, pages 83-84. 2008. In Japanese. [ bib ]
[35] Takaki Makino and Kazuyuki Aihara. Simulating others. Journal of The Japan Society for Simulation Technology, 26:171-175, 2007. In Japanese. [ bib | Abstract ]
[15] Takaki Makino. Pulse neural networks for language understanding. Student Meetings of Speech, Language, and Communication Society in University of Tokyo, September 2001. “Well, this study might happen to change the world” award. [ bib ]
[1] Takaki Makino, Yousuke Niwa, and Ayumu Nagai. Efficient implementation of fast fourier transformation on AP-1000+. Winner of the 3rd Parallel Software Contest, held by the Joint Symposium on Parallel Processing (Talk at Waseda University International Conference Center), June 1996. [ bib ]

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