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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)  (2011)

Chair: Ichiro Takeuchi (Nagoya Inst. of Tech.)
Vice Chair: Masashi Sugiyama (Univ. of Tokyo), Koji Tsuda (Univ. of Tokyo)
Secretary: Toshihiro Kamishima (AIST), Tomoharu Iwata (NTT)
Assistant: Atsuyoshi Nakamura (Hokkaido Univ.), Shigeyuki Oba (Kyoto Univ.)

Search Results: Keywords 'from:2011-11-09 to:2011-11-09'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2011-11-09
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
IBISML 2011-11-09
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]
IBISML 2011-11-09
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
IBISML 2011-11-09
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
IBISML 2011-11-09
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]
IBISML 2011-11-09
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
IBISML 2011-11-09
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]
IBISML 2011-11-09
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]
IBISML 2011-11-09
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
IBISML 2011-11-09
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
IBISML 2011-11-09
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
IBISML 2011-11-09
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
IBISML 2011-11-09
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
IBISML 2011-11-09
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]
IBISML 2011-11-09
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
IBISML 2011-11-09
Nara Nara Womens Univ. Multiple Kernel Learning Based on Gaussianity
Hideitsu Hino, Noboru Murata (Waseda Univ.) IBISML2011-57
 [more] IBISML2011-57
IBISML 2011-11-09
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
IBISML 2011-11-09
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
IBISML 2011-11-09
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
IBISML 2011-11-09
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]
 Results 1 - 20 of 45  /  [Next]  
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