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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-23 16:00 |
Okinawa | Okinawa Institute of Science and Technology | Analysis of Robustness of Approximators Based on Neural Networks Against Redundant Dimensions Shoichi Someno, Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Tomoki Ichiba, Masahiko Morita (Tsukuba Univ.)  NC2017-8 |
Redundant input dimensions that are not related to the output are known to lower the approximate accuracy of function ap... [more] | NC2017-8 pp.21-26 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-23 16:25 |
Okinawa | Okinawa Institute of Science and Technology | Analysis of Sequential Learning Capability of Selective Desensitization Neural Network Tomoki Ichiba, Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Syoichi Someno, Masahiko Morita (Tsukuba Univ.) NC2017-9 |
A conventional neural network with high generalization ability is known to entirely forget the previously learned inform... [more] | NC2017-9 pp.27-32 |
| NC, IPSJ-BIO | 2013-06-28 15:10 |
Okinawa | Okinawa Institute of Science and Technology | Effect of Pattern Coding on Pattern Classification Neural Networks Tomohiro Tanno, Kazumasa Horie, Takaaki Kobayashi, Masahiko Morita (Univ. of Tsukuba) NC2013-13 |
Recent studies reported that the performance of layered neural networks to approximate multivariable functions improves ... [more] | NC2013-13 pp.139-143 |
| NC, IPSJ-BIO | 2012-06-28 10:10 |
Okinawa | OIST, Okinawa | Multi-Class EMG Pattern Classfication using a Selective Desensitization Neural Network with a Half-vs-Half Method Kazumasa Horie (Univ. of Tsukuba), Atsuo Suemitsu (JAIST), Masahiko Morita (Univ. of Tsukuba) NC2012-3 |
The real-time classi cation of human movements by using surface electromyogram (EMG) signals is an important research is... [more] | NC2012-3 pp.13-18 |
| NC, IPSJ-BIO | 2012-06-28 11:10 |
Okinawa | OIST, Okinawa | A Computational Model for State Value Estimation in the Brain Using Two Kinds of Temporal Differences Masanari Shinotsuka, Masahiko Morita (Univ. of Tsukuba) NC2012-5 |
The basal ganglia has been considered to be deeply involved in reinforcement learning since Schultz et al. reported that... [more] | NC2012-5 pp.25-30 |
| NC, IPSJ-BIO [detail] | 2011-06-24 14:15 |
Okinawa | 50th Anniversary Memorial Hall, University of the Ryukyus | The Capability of Selective Desensitization Neural Networks at Two-Variable Function Approximation Kazuaki Nonaka, Fumihide Tanaka, Masahiko Morita (Tsukuba Univ) NC2011-14 |
Selective Desensitization Neural Network (SDNN) is known to be able to approximate some functions well with high general... [more] | NC2011-14 pp.113-118 |
| NC, IPSJ-BIO [detail] | 2011-06-24 14:40 |
Okinawa | 50th Anniversary Memorial Hall, University of the Ryukyus | Q-learning in Continuous Action-State Space by Using a Selective Desensitization Neural Network Takaaki Kobayashi, Takeshi Shibuya, Fumihide Tanaka, Masahiko Morita (Tsukuba Univ) NC2011-15 |
Value function approximation takes an important role for reinforcement learning in continuous state-action space. Conven... [more] | NC2011-15 pp.119-123 |
| NC, NLP, IPSJ-BIO [detail] | 2010-06-18 15:35 |
Okinawa | Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan | Discrimination of Hand Motion from Surface EMG Signals Using a Selective Desensitization Neural Network Hiroshi Kawata (Univ. of Tsukuba), Atsuo Suemitsu (JAIST), Masahiko Morita (Univ. of Tsukuba) NLP2010-6 NC2010-6 |
Real-time discrimination of hand motion from surface EMG signals is useful for developing surface EMG prosthetic arms, i... [more] | NLP2010-6 NC2010-6 pp.37-44 |
| HIP, HCS | 2010-05-14 13:30 |
Okinawa | Okinawa Industry Support Center | Estimation of the chunk structure in visuomotor procedural memory based on finger velocity Masanobu Sakata, Hiromi Morita, Masahiko Morita (Univ. of Tsukuba) HCS2010-18 HIP2010-18 |
Although the existence of "chunks" in procedural memory is suggested by the analysis of button-press intervals in a sequ... [more] | HCS2010-18 HIP2010-18 pp.97-102 |
| NC | 2009-01-19 10:55 |
Hokkaido | Hokkaido Univ. | Reinforcement Learning Using Selective Desensitization Neural Networks in the State Space with Redundant dimensions Tomoyuki Shimbo, Ken Yamane, Masahiko Morita (Univ. of Tsukuba) NC2008-83 |
Reinforcement learning has a problem that it requires a long time particularly when the state space is high dimensional ... [more] | NC2008-83 pp.7-12 |
| NC, MBE (Joint) |
2008-03-13 15:20 |
Tokyo | Tamagawa Univ | Efficiency improvement of reinforce learning using a selective desensitization neural network Masahiko Morita, Tomoyuki Shimbo, Takashi Hasuo, Ken Yamane (Univ. of Tsukuba) NC2007-172 |
Existing reinforcement learning (RL) systems have a serious problem that they require an extremely long time for learnin... [more] | NC2007-172 pp.355-359 |
| NC | 2007-03-15 15:50 |
Tokyo | Tamagawa University | Modeling the activity of the hippocampal neurons based on the theory of selective desensitization Yasuhiro Miyazawa (Univ. of Tsukuba), Atsuo Suemitsu (Shimane Univ.), Masahiko Morita (Univ. of Tsukuba) |
Integrating different kinds of information is thought to be a key function of the hippocampus. Based on a computational... [more] |
NC2006-184 pp.183-188 |
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