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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC | 2008-10-23 09:25 |
Miyagi | Tohoku Univ. | Learning of context dependent symbol sequences by a Complex-vauled neural network model Tomonori Tanishima, Masaharu Adachi (Tokyo Denki Univ.)  NC2008-37 |
In this report, we describe a learning of context dependent symbolic sequences by a complex-valued neural network model.... [more] | NC2008-37 pp.7-12 |
| NLP | 2008-07-31 11:20 |
Kochi | An analysis of dynamical associative memory using nonlinear support vector machine Akinori Kato, Masaharu Adachi (Tokyo Denki Univ.) NLP2008-21 |
In this report, a dynamic associative memory using nonlinear Support Vector Machine (SVM) is proposed. We improved the r... [more] | NLP2008-21 pp.11-16 |
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| NLP | 2008-07-31 11:45 |
Kochi | An attempt to accelerate of reinforcement learning by a time-shift tile coding Youhei Kajimoto, Masaharu Adachi (Tokyo Denki Univ) NLP2008-22 |
[more] | NLP2008-22 pp.17-22 |
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| NLP | 2008-03-28 10:50 |
Hyogo | A multi-agent Reinforcement Learning with Parallel Computation and its Application to Chaos Control Norihisa Sato, Masaharu Adachi (Tokyo Denki Univ.) NLP2007-169 |
A reinforcement learning is a trial and error process, therefore it takes a huge computation time. It multiple agents ca... [more] | NLP2007-169 pp.13-18 |
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| NLP | 2008-03-28 14:55 |
Hyogo | A spiking network of Hippocampal model including neurogenesis. Yusuke Tabata, Masaharu Adachi (Tokyo Denki Univ.) NLP2007-176 |
The hippocampus is considered that it keeps short-term memories and participates in the fixation of long-term memory. R... [more] |
NLP2007-176 pp.55-60 |
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| NLP | 2007-12-20 14:15 |
Fukui | A Method for solving Asymmetric Traveling Salesman Problems using Block Shift Operations and Point Classification by Self-organizing Maps Toshihiro Tachibana, Masaharu Adachi (Tokyo Denki Univ.) NLP2007-127 |
In this report, an improved method for solving Asymmetric Travelling Salesman Problems (ATSP) is proposed. Where the asy... [more] | NLP2007-127 pp.35-40 |
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| NLP | 2007-12-20 14:40 |
Fukui | An Analysis of Magnetoencephalogram Using Recurrent-SOM and ICA Yuitirou Hayasaka, Masaharu Adachi (Tokyo Denki Univ.) NLP2007-128 |
MEG(Magnetoencephalogram) is the magnetic field that occurred with the activity of the nerve cell from the outside of th... [more] | NLP2007-128 pp.41-46 |
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| NLP | 2007-01-17 16:45 |
Kagawa | A simple construction method for the states of chaos control using reinforcement learning Norihisa Sato, Masaharu Adachi, Makoto Kotani (Tokyo Denki Univ.) |
[more] | NLP2006-124 pp.75-80 |
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| NLP | 2006-12-13 13:50 |
Hokkaido | A comparison between correlation learning and pseudo-relaxation learning for a complex-valued bidirectional associative model Ryuuichi Sasaki, Masaharu Adachi (Denki Univ) |
[more] | NLP2006-93 pp.21-26 |
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| NLP | 2006-03-21 11:40 |
Tokyo | Hosei Univ.(Ichigaya Campus) | Evaluating progress of reinforcement learning using recurrence plots Tetsuya Takahashi, Masaharu Adachi (TDU) |
(To be available after the conference date) [more] | NLP2005-155 pp.25-30 |
| NLP | 2005-11-19 15:40 |
Fukuoka | Kyushu Institute of Technology | Application of minimum description length to Least Squares Support Vector Machines for modeling chaotic dynamical systems Tsutomu Maeda, Masaharu Adachi (Tokyo Denki Univ.) |
In this study, we attempt to prune the support vectors of Least Squares Support Vector Machines for function estimation... [more] | NLP2005-83 pp.71-76 |
| NLP | 2005-01-24 15:15 |
Kagawa | Kagawa Univ. | * , Masaharu Adachi (Tokyo Denki Univ.) |
Partitioned Iterated Function Systems that are called PIFS, encode an image using a property of fractal in the image. Th... [more] | NLP2004-93 pp.27-30 |
| NLP | 2005-01-24 16:15 |
Kagawa | Kagawa Univ. | * Tetsuya Takahashi, Masaharu Adachi (Tokyo Denki Univ.) |
Reinforcement learning is a kind of learning systems which can deal with an unknown environment.In the reinforcement lea... [more] | NLP2004-95 pp.35-40 |
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