Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
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IBISML2011-87
Chance Adjusted Infinite Relational Model for Asymmetric and Individually Different Relational Data Analysis
Iku Ohama, Hiromi Iida (Panasonic), Takuya Kida, Hiroki Arimura (Hokkaido Univ.)
pp. 1 - 8
IBISML2011-88
Bayesian Network Structure Estimation based on the Bayesian/MDL Criteria when both Discrete and Continuous Variables are Present
Joe Suzuki (Osaka Univ.)
pp. 9 - 14
IBISML2011-89
Detecting Latent Structural Changes via Latent Dirichlet Allocation
Masashi Ueda, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo), Katsuhiko Ishiguro, Hiroshi Sawada, Naonori Ueda (NTT)
pp. 15 - 20
IBISML2011-90
Fully Bayesian speaker clustering based on hierarchical structured Dirichlet process mixture model
Naohiro Tawara, Tetsuji Ogawa (Waseda Univ.), Shinji Watanabe (NTT/MERL), Atsushi Nakamura (NTT), Tetsunori Kobayashi (Waseda Univ.)
pp. 21 - 28
IBISML2011-91
Hyperparameter Selection of Infinite Gaussian Mixture Model via Widely Applicable Information Criterion
Takushi Miki, Masahiro Kohjima, Sumio Watanabe (titech)
pp. 29 - 33
IBISML2011-92
Kernel Bellman Equations in POMDPs
Yu Nishiyama (ISM), Abdeslam Boularias (MPI), Arthur Gretton (UCL), Kenji Fukumizu (ISM)
pp. 35 - 42
IBISML2011-93
Model Selection of Indirect Value Function Estimation
Masahiro Kohjima (Tokyo Tech)
pp. 43 - 48
IBISML2011-94
Apprenticeship Learning for Model Parameters of Partially Observable Environments
Takaki Makino (Univ. of Tokyo), Johane Takeuchi (HRI-JP)
pp. 49 - 54
IBISML2011-95
Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration
Tingting Zhao, Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.)
pp. 55 - 62
IBISML2011-96
Canonical Multiple Sequence Alignment for High-dimensional Multiple Time-series Analysis
Takamitsu Matsubara (NAIST/ATR), Jun Morimoto (ATR)
pp. 63 - 68
IBISML2011-97
Heterogeneous Time Series Clustering based on Infinite-Length Model Distance
Shunsuke Hirose, Katsuyuki Izumi (SAS)
pp. 69 - 76
IBISML2011-98
Detecting Long-term Trending Topics in Social Networks
Shota Saito, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo)
pp. 77 - 84
IBISML2011-99
On d-consistency for high-dimensional discrimination analysis
Takanori Ayano (Osaka Univ.)
pp. 85 - 88
IBISML2011-100
An Accuracy Analysis of Bayes Latent Variable Estimation with Redundant Variables
Keisuke Yamazaki (Tokyo Inst. of Tech.)
pp. 89 - 95
IBISML2011-101
A Study on Decision Boundary Stability in Active Learning with Support Vector Machine
Takeru Takahashi, Yuji Waizumi, Kazuo Hashimoto (Tohoku Univ.)
pp. 97 - 101
IBISML2011-102
Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching
Marthinus Christoffel du Plessis, Masashi Sugiyama (Tokyo Inst. of Tech.)
pp. 103 - 108
IBISML2011-103
Matrix and Tensor Factorization with Aggregated Observations
Yoshifumi Aimoto, Hisashi Kashima (Univ. of Tokyo)
pp. 109 - 116
IBISML2011-104
A Method for Packet Loss Rate Estimation Using Active and Passive Measurements
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda (NAIST)
pp. 117 - 121
IBISML2011-105
Improving Importance Estimation in Pool-based Batch Active Learning for Approximate Linear Regression
Nozomi Kurihara, Masashi Sugiyama (Tokyo Inst. of Tech.)
pp. 123 - 130
IBISML2011-106
Early Stopping Heuristics in Pool-Based Incremental Active Learning for Least-Squares Probabilistic Classifier
Tsubasa Kobayashi, Masashi Sugiyama (Tokyo Inst. of Tech.)
pp. 131 - 138
IBISML2011-107
Feature Selection via L1-Penalized Squared-Loss Mutual Information
Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.)
pp. 139 - 146
IBISML2011-108
Squared-loss Mutual Information Regularization
Gang Niu, Wittawat Jitkrittum, Hirotaka Hachiya (Tokyo Inst. of Tech.), Bo Dai (Purdue Univ.), Masashi Sugiyama (Tokyo Inst. of Tech.)
pp. 147 - 153
IBISML2011-109
The Information-Based Inductive Sciences and Biological Learning
-- The Quantum Mechanism of Concept (Digital Linguistics) --
Kimiaki Tokumaru (System Engineer)
pp. 155 - 162
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.