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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2011-03-08 09:50 |
Tokyo | Tamagawa University | A Theoretical Analysis of KL-type Generalization Error on Hidden Variable Distribution Keisuke Yamazaki (Tokyo Inst. of Tech.)  NC2010-165 |
In information science, hierarchical models such as mixture models, hidden Markov models and Bayesian networks are wide... [more] |
NC2010-165 pp.223-228 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Statistical mechanics of on-line learning using correlated examples Kento Nakao (Kansai Univ.), Yuuta Narukawa (Daihen), Seiji Miyoshi (Kansai Univ.) IBISML2010-91 |
We consider a model composed of nonlinear perceptrons and analytically investigate the generalization performance of lea... [more] | IBISML2010-91 pp.239-244 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Statistical Mechanics of Adaptive Weight Perturbation Learning Ryousuke Miyoshi, Yutaka Maeda, Seiji Miyoshi (Kansai Univ.) IBISML2010-92 |
The weight perturbation learning was proposed as a learning rule which adds perturbation to the variable parameters of ... [more] | IBISML2010-92 pp.245-250 |
| TL | 2010-02-06 15:30 |
Tokyo | Valency Pattern Dictionary Converted to Passive Voice Taisuke Fukuda, Masato Tokuhisa, Jin'ichi Murakami, Satoru Ikehara (Tottori Univ.) TL2009-43 |
This paper proposes a method to convert valency patterns in A-Japanese-Lexcon to the passive voice. It is said that on c... [more] | TL2009-43 pp.19-24 |
|
| NC | 2010-01-18 15:30 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Learning Machine having Curiosity
-- Sequential Learning and Model Selection under Unstable Environments -- Koichiro Yamauchi (Chubu University) NC2009-75 |
In this research, an weighted error function for the learning of RBFNN under virtual concept drift environments is prop... [more] |
NC2009-75 pp.25-30 |
| NC | 2010-01-18 16:55 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | On Generalizaition Errors of Self-organizing Map Fumiaki Saitoh, Sumio Watanabe (Tokyo Inst. of Tech.) NC2009-78 |
Self-organizing map is usually used for estimation of a low dimensional manifold in high dimensional space. The main pur... [more] | NC2009-78 pp.43-48 |
| NC, NLP | 2009-07-14 13:00 |
Nara | NAIST | Statistical Mechanics of Node-perturbation learning Kazuyuki Hara (Tokyo Metro. Colle. Ind. Eng.), Kentaro Katahira (ERATO), Kazuo Okanoya (RIKEN), Masato Okada (Tokyo Univ.) NLP2009-38 NC2009-31 |
Node-perturbation learning is a stochastic gradient method, and it can apply to the problem where the objective functi... [more] |
NLP2009-38 NC2009-31 pp.127-132 |
| NC, MBE (Joint) |
2009-03-12 13:25 |
Tokyo | Tamagawa Univ. | Covariate Shift and Incremental Learning Koichiro Yamauchi (Hokudai Univ.) NC2008-142 |
Learning strategies under `covariate shift' have recently been widely discussed. Under covariate shift, the density o... [more] |
NC2008-142 pp.231-236 |
| NC | 2009-01-19 13:55 |
Hokkaido | Hokkaido Univ. | On the Effect of Hyperparameter to Generalization Error in Variational Bayes Learning Shinji Oyama, Sumio Watanabe (Tokyo Inst. of Tech.) NC2008-87 |
In variational Bayes learning, the probability distribution of the hidden variable and parameter is made by the mean fie... [more] | NC2008-87 pp.31-36 |
| PRMU | 2008-12-18 11:15 |
Kumamoto | Kumamoto Univ. | Classifier selection in a family of polyhedron classifiers Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura (Hokkaido Univ.) PRMU2008-153 |
It is an efficient way to approximate a class region by convex hulls of samples. However, the convex hull is computat... [more] |
PRMU2008-153 pp.37-41 |
| NC, MBE (Joint) |
2008-03-13 13:30 |
Tokyo | Tamagawa Univ | A Statistical Analysis of Support Vector Machines of Forgetting Factor Yoshihiko Nomura, Hiroyuki Funaya, Kazushi Ikeda (Kyoto Univ.) NC2007-168 |
Support Vector Machines (SVMs) are, in general, trained in batch but any trick is necessary when the target to be traine... [more] | NC2007-168 pp.331-336 |
| MBE, NC (Joint) |
2007-12-22 10:50 |
Aichi | Generalization and Trainining Errors of Bayes and Gibbs Estimations in Singular Sumio Watanabe (Tokyo Inst. of Tech.) NC2007-75 |
In singular learning machines such as neural networks, normal mixtures, Bayesian networks, and reduced rank regressions... [more] |
NC2007-75 pp.25-30 |
|
| CAS, SIP, VLD | 2007-06-22 09:20 |
Hokkaido | Hokkaido Tokai Univ. （Sapporo) | A Brain Computer Interface Based on FFT and Multilayer Neural Network
-- Feature Extraction and Generalization -- Yasuaki Kaneda, Kenji Nakayama, Akihiro Hirano (Kanazawa Univ.) CAS2007-19 VLD2007-35 SIP2007-49 |
In this paper, a multilayer neural network is applied to 'Brain Computer Interface' (BCI), which is one of hopeful inter... [more] | CAS2007-19 VLD2007-35 SIP2007-49 pp.1-6 |
| NC | 2006-03-16 13:50 |
Tokyo | Tamagawa University | Mutual Learning Involves Integration Mechanizm of Ensemble Learning Kazuyuki Hara (Tokyo Metor. College), Masato Okada (Univ. Tokyo) |
In the previous report, we derived differential equations of the order parameter of mutual learning using students prev... [more] |
NC2005-144 pp.115-120 |
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