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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2011)
Search Results: Keywords 'from:2011-11-09 to:2011-11-09'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Decoding an Unknown Channel with Correlated Signals Jian-Qin Liu (NICT), Teruya Yamanishi (Fukui Univ. of Tech.), Haruhiko Nishimura (Univ. of Hyogo), Hiroaki Umehara (NICT)  IBISML2011-42 |
With respect to an unknown channel that is defined by correlated signals of the input and the output, the signals of a s... [more] | IBISML2011-42 pp.1-4 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Local Minima Structure of Variational Bayes Learning Fumito Nakamura, Sumio Watanabe (Tokyo Tech) IBISML2011-43 |
Variational Bayes learning has good generalization performance as Bayes learning by relatively small computational cost... [more] |
IBISML2011-43 pp.5-10 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Asymptotic Eigenvalue Distribution of Random Matrix with Non-identical Variance Components Takashi Shinzato (Akita Pref. Univ.) IBISML2011-44 |
[more] | IBISML2011-44 pp.11-18 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Learning a Graphical Structure with Clusters Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2011-45 |
In this paper, we propose an estimation technique of a graphical model with some unknown clusters. We introduce a new re... [more] | IBISML2011-45 pp.19-24 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Relative Density-Ratio Estimation for Robust Distribution Comparison Makoto Yamada (Tokyo Inst. of Tech.), Taiji Suzuki (Univ. of Tokyo), Takafumi Kanamori (Nagoya Univ.), Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-46 |
Divergence estimators based on direct approximation of density-ratios without going through separate approximation of n... [more] |
IBISML2011-46 pp.25-32 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Adaptive Markov Chain Monte Carlo for Auxiliary Variable Method and Its Application to Exchange Monte Carlo Method Takamitsu Araki, Takashi Takenouchi, Kazushi Ikeda (NAIST) IBISML2011-47 |
For sampling from a complicated distribution, Auxiliary Variable Method, which contain Exchange Monte Carlo Method and C... [more] | IBISML2011-47 pp.33-38 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Approximate Reduction from AUC Maximization to 1-norm Soft Margin Optimization Daiki Suehiro, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2011-48 |
Finding linear classifi ers that maximize AUC scores is important in ranking research. This is naturally formulated as ... [more] |
IBISML2011-48 pp.39-46 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Kernel and Feature Search in Kernel PCA Alam Md. Ashad (SOKENDAI), Kenji Fukumizu (ISM) IBISML2011-49 |
During the last decade, unsupervised learning has become an important application area of the kernel methods. While the... [more] |
IBISML2011-49 pp.47-56 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | An Extension of Probabilistic PCA for Correlated Samples Kohei Hayashi (NAIST), Masanori Kawakita (Kyushu Univ), Kazushi Ikeda (NAIST) IBISML2011-50 |
Principal component analysis (PCA) is one of dimensional reduction methods and has widely been used for feature extracti... [more] | IBISML2011-50 pp.57-60 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Active Value Function Estimation Based On Transition Probability Estimation Masahiro Kohjima (Tokyo Tech) IBISML2011-51 |
It is considered to be a great importance in reinforcement learning to estimate value function precisely. In this study,... [more] | IBISML2011-51 pp.61-66 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Inferring the time-varying input signals and the hidden states from the membrane potential of a neuron Ryota Kobayashi (Ritsumeikan Univ.), Petr Lansky (Acad. of Sci. of the Czech), Shigeru Shinomoto (Kyoto Univ.) IBISML2011-52 |
We consider an estimation problem of the time-varying input signals and the ion channel states from a voltage trace of a... [more] | IBISML2011-52 pp.67-70 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | A kernel-based approach for matrix and tensor completion Kohei Hayashi, Takashi Takenouchi (NAIST), Ryota Tomioka, Hisashi Kashima (Univ. Tokyo) IBISML2011-53 |
We study a new kernel-based framework for matrix and tensor completion problems. Our model provides a consistent way to ... [more] | IBISML2011-53 pp.71-77 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Modified Newton Approach to Policy Search Hirotaka Hachiya (Tokyo Inst. of Tech.), Tetsuro Morimura (IBM Japan), Takaki Makino (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-54 |
The natural policy gradient method was shown to be a useful approach to policy search in reinforcement learning. However... [more] | IBISML2011-54 pp.79-85 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | An Accuracy Analysis of Latent Variable Estimation with the Maximum Likelihood Estimator Keisuke Yamazaki (Tokyo Inst. of Tech.) IBISML2011-55 |
Hierarchical learning models such as mixture models and hidden Markov models are widely used in machine learning and d... [more] |
IBISML2011-55 pp.87-91 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Prismatic algorithm for discrete D.C. programming problem Yoshinobu Kawahara, Takashi Washio (Osaka Univ.) IBISML2011-56 |
In this paper, we propose the first exact algorithm for minimizing the difference of two submodular functions (D.S.), {\... [more] | IBISML2011-56 pp.93-98 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Multiple Kernel Learning Based on Gaussianity Hideitsu Hino, Noboru Murata (Waseda Univ.) IBISML2011-57 |
[more] | IBISML2011-57 pp.99-104 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Gaussian FoE model with correlations among color components Ryuta Murayama, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) IBISML2011-58 |
Color images consist of some color components such as RGB, YCbCr. They have been often treated independently in usual im... [more] | IBISML2011-58 pp.105-111 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Extraction of Damage Patterns of a Fuel Cell by Clustering Considering Co-occurrence between Events Daiki Inaba, Ken-ichi Fukui (Osaka Univ.), Kazuhisa Sato, Junichirou Mizusaki (Tohoku Univ.), Masayuki Numao (Osaka Univ.) IBISML2011-59 |
Solid oxide fuel cell (SOFC) is an efficient generator and researched for practical use. However, one of the problems is... [more] | IBISML2011-59 pp.113-122 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Replica Symmetry Breaking in Compressed Sensing Koujin Takeda, Yoshiyuki Kabashima (Tokyo Tech.) IBISML2011-60 |
In our preceding works, we provided a general framework for estimating the reconstruction limit in compressed sensing by... [more] | IBISML2011-60 pp.123-126 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Generalization of Matrix Factorization for Robust PCA Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2011-61 |
Principal component analysis (PCA) can be regarded as approximating a data matrix with a low-rank one by imposing spar... [more] |
IBISML2011-61 pp.127-134 |
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