Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
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IBISML2011-42
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)
pp. 1 - 4
IBISML2011-43
Local Minima Structure of Variational Bayes Learning
Fumito Nakamura, Sumio Watanabe (Tokyo Tech)
pp. 5 - 10
IBISML2011-44
Asymptotic Eigenvalue Distribution of Random Matrix with Non-identical Variance Components
Takashi Shinzato (Akita Pref. Univ.)
pp. 11 - 18
IBISML2011-45
Learning a Graphical Structure with Clusters
Satoshi Hara, Takashi Washio (Osaka Univ.)
pp. 19 - 24
IBISML2011-46
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.)
pp. 25 - 32
IBISML2011-47
Adaptive Markov Chain Monte Carlo for Auxiliary Variable Method and Its Application to Exchange Monte Carlo Method
Takamitsu Araki, Takashi Takenouchi, Kazushi Ikeda (NAIST)
pp. 33 - 38
IBISML2011-48
Approximate Reduction from AUC Maximization to 1-norm Soft Margin Optimization
Daiki Suehiro, Kohei Hatano, Eiji Takimoto (Kyushu Univ.)
pp. 39 - 46
IBISML2011-49
Kernel and Feature Search in Kernel PCA
Alam Md. Ashad (SOKENDAI), Kenji Fukumizu (ISM)
pp. 47 - 56
IBISML2011-50
An Extension of Probabilistic PCA for Correlated Samples
Kohei Hayashi (NAIST), Masanori Kawakita (Kyushu Univ), Kazushi Ikeda (NAIST)
pp. 57 - 60
IBISML2011-51
Active Value Function Estimation Based On Transition Probability Estimation
Masahiro Kohjima (Tokyo Tech)
pp. 61 - 66
IBISML2011-52
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.)
pp. 67 - 70
IBISML2011-53
A kernel-based approach for matrix and tensor completion
Kohei Hayashi, Takashi Takenouchi (NAIST), Ryota Tomioka, Hisashi Kashima (Univ. Tokyo)
pp. 71 - 77
IBISML2011-54
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.)
pp. 79 - 85
IBISML2011-55
An Accuracy Analysis of Latent Variable Estimation with the Maximum Likelihood Estimator
Keisuke Yamazaki (Tokyo Inst. of Tech.)
pp. 87 - 91
IBISML2011-56
Prismatic algorithm for discrete D.C. programming problem
Yoshinobu Kawahara, Takashi Washio (Osaka Univ.)
pp. 93 - 98
IBISML2011-57
Multiple Kernel Learning Based on Gaussianity
Hideitsu Hino, Noboru Murata (Waseda Univ.)
pp. 99 - 104
IBISML2011-58
Gaussian FoE model with correlations among color components
Ryuta Murayama, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.)
pp. 105 - 111
IBISML2011-59
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.)
pp. 113 - 122
IBISML2011-60
Replica Symmetry Breaking in Compressed Sensing
Koujin Takeda, Yoshiyuki Kabashima (Tokyo Tech.)
pp. 123 - 126
IBISML2011-61
Generalization of Matrix Factorization for Robust PCA
Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.)
pp. 127 - 134
IBISML2011-62
Detecting Changes of Clustering Structures using Renormalized Maximum Likelihood Coding
So Hirai, Kenji Yamanishi (Univ. of Tokyo)
pp. 135 - 142
IBISML2011-63
POS prediction using collaborative filtering
Tor Andre Myrvoll (SINTEF), Tomoko Matsui (ISM)
pp. 143 - 146
IBISML2011-64
On Fast Convergence Rate of Non-Sparse Multiple Kernel Learning and Optimal Regularization
Taiji Suzuki (Tokyo University)
pp. 147 - 154
IBISML2011-65
A Method for Estimating Binary Data Generating Process
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki (Osaka Univ.), Akihiro Yamamoto (Kyoto Univ.), Yoshinobu Kawahara (Osaka Univ.)
pp. 155 - 162
IBISML2011-66
Dynamic model selection with resetting distributions
Eiichi Sakurai (AIST), Kenji Yamanishi (The Univ. of Tokyo)
pp. 163 - 168
IBISML2011-67
Image Segmentation and Restoration using Switching State-Space Model and Variational Bayesian Method
Ryota Hasegawa (Kansai Univ.), Ken Takiyama, Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.)
pp. 169 - 174
IBISML2011-68
Image segmentation and restoration by variational Bayesian method and MCMC
Kenta Kayano (Kansai Univ.), Kenji Nagata, Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.)
pp. 175 - 180
IBISML2011-69
Estimation of Recombination Rates by Using Dirichlet Process and Variational Bayes
Yuna Yomogida, Noboru Murata, Masato Inoue (Waseda Univ.)
pp. 181 - 185
IBISML2011-70
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
Song Liu, Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.)
pp. 187 - 198
IBISML2011-71
Sequential Network Change Detection with Its Applications to Advertisement Impact Relation Analysis
Yu Hayashi, Kenji Yamanishi (Univ. of Tokyo.)
pp. 199 - 206
IBISML2011-72
Causal Inference for Discrete Data
-- Extension from binary data to multi-value data. --
Joe Suzuki, Shohei Shimizu, Takashi Washio (Osaka U.)
pp. 207 - 212
IBISML2011-73
Computationally Efficient Multi-Label Classification by Least-Squares Probabilistic Classifier
Hyunha Nam, Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.)
pp. 213 - 216
IBISML2011-74
A latent variational approximation method of Total variation for noise reduction
Hayaru Shouno (UEC), Masato Okada (The Univ. of Tokyo)
pp. 217 - 222
IBISML2011-75
Image Restoration and Segmentation Based on Compound Gaussian Markov Random Field Extended as Mixture Model
Takayuki Katsuki, Masato Inoue (Waseda Univ.)
pp. 223 - 230
IBISML2011-76
A convex formulations of learning from crowds
Hiroshi Kajino, Hisashi Kashima (UT)
pp. 231 - 236
IBISML2011-77
On the behavior of average of acceptance rate for Metropolis algorithm
Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN)
pp. 237 - 242
IBISML2011-78
Nonparametric Estimation of Mixture Model and Minimum Divergence Methods
Kazuho Watanabe (NAIST), Shiro Ikeda (ISM)
pp. 243 - 249
IBISML2011-79
Semi-supervised domain adaptation with multiple kernel learning
Hiroyuki Okada, Kuniaki Uehara (Kobe Univ.)
pp. 251 - 256
IBISML2011-80
Effectiveness of Laplacian-based kernels from the hubness point of view
Ikumi Suzuki (NAIST), Kazuo Hara (NIG), Masashi Shimbo, Yuji Matsumoto (NAIST)
pp. 257 - 262
IBISML2011-81
A Parametric Programming Approach for Outlier Detection and Robust Learning for Classification and Regression
Ichiro Takeuchi (NIT)
pp. 263 - 269
IBISML2011-82
Generation of Language among Learning Machines
-- Modelling Natural Language Generation --
Seisuke Yanagawa (Optid)
pp. 271 - 276
IBISML2011-83
Detection of miscategorized samples based on predictive likelihood maximization
Akinori Fujino, Tomoharu Iwata, Masaaki Nagata (NTT)
pp. 277 - 283
IBISML2011-84
Mixture of Regression Based on Basis Functions Derived from Binomial Distribution
Gen Nakagata, Masato Inoue (Waseda Univ)
pp. 285 - 290
IBISML2011-85
A Linear Time Subpath Kernel for Trees
Daisuke Kimura, Hisashi Kashima (Univ. of Tokyo)
pp. 291 - 296
IBISML2011-86
Clustering and planning for 3D near-infrared sensor data by Hierarchical Dirichlet Process
Takayuki Shimotomai, Hiroyuki Okada, Takashi Omori (Tamagawa Univ.)
pp. 297 - 299
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.