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All Technical Committee Conferences (Searched in: All Years)
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| Search Results: Conference Papers |
| Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| NC |
2007-03-15
11:00 |
Tokyo |
Tamagawa University |
PLS Mixture Model for Online Dimension Reduction
Jiro Hayami, Koichiro Yamauchi (Hokkaido Univ.) |
[more] |
NC2006-173
pp.117-122 |
| NC |
2007-03-15
11:40 |
Tokyo |
Tamagawa University |
Speculative variable selection methods for quick online learning of classification tasks
Shinpei Masuda, Youhei Tadeuchi, Kyosuke Nishida, Koichiro Yamauchi (Hokkaido Univ.) |
Generally, high dimensional datasets usually include redundant or useless features to achieve the learning of specified ... [more] |
NC2006-175
pp.129-134 |
| NC |
2007-03-15
14:20 |
Tokyo |
Tamagawa University |
Incremental learning for limited resources through sleep
Kohei Mikami, Koichiro Yamauchi (Hokkaido Univ.) |
There are many learning systems that optimize the number of hidden units through learning. Almost all of them, do not re... [more] |
NC2006-180
pp.159-164 |
| NC |
2007-03-16
11:20 |
Tokyo |
Tamagawa University |
Learning accelerator pedal operation for achieving specified acceleration patterns
-- Computational and experimental studies --
So Watanabe (Hokkaido Univ.), Takashi Omori (Tamagawa Univ.), Koichiro Yamauchi (Hokkaido Univ.), Yutaka Sakaguchi (UEC) |
[more] |
NC2006-191
pp.29-34 |
| NC |
2007-01-26
15:20 |
Hokkaido |
Noboribetsu Manseikaku(Noboribetsu) |
Multilayered modular network for quick learning with reduction of resources in chaining environment
Yasuhiro Yamashita, Koichiro Yamauchi (Hokkaido Univ.) |
This paper proposes an online learning machine in a dynamic environment, into which the I/O relation is varied.
The lea... [more] |
NC2006-113
pp.75-80 |
| NC |
2006-05-26
15:20 |
Miyagi |
Tohoku Univ. |
Quick online learning using speculative Filter and Wrapper variable selection methods
Ryuji Oshima, Koichiro Yamauchi (Hokudai), Takashi Omori (Tamagawa University) |
Online learning machines are essential tool for real-time adaptive systems
such as autonomous robots.
However, if the ... [more] |
NC2006-6
pp.31-36 |
| NC |
2006-03-16
13:25 |
Tokyo |
Tamagawa University |
Incremental learning and model selection for radial basis function through sleep
-- Comparison between other incremental learning systems and the proposed system --
Koichiro Yamauchi, Jiro Hayami (Hokudai) |
[more] |
NC2005-143
pp.109-114 |
| NC |
2006-01-24
09:00 |
Hokkaido |
Hokkaido Univ. |
Adaptive Classifiers-Ensemble System for Concept-Drifting Environments
Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori (Hokkaido Univ.) |
Most machine learning algorithms assume stationary environments, require a large number of training examples in advance,... [more] |
NC2005-98
pp.1-6 |
| NLP |
2004-11-27
09:50 |
Fukuoka |
Kyushu Inst. Tech. |
*
Takashi Omori, Akitoshi Ogawa, Koichiro Yamauchi (Hokkaido Univ.) |
[more] |
NLP2004-79
pp.19-24 |
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