IEICE Technical Report

Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380

Infomation-Based Induction Sciences and Machine Learning

Workshop Date : 2010-06-14 - 2010-06-15 / Issue Date : 2010-06-07

IBISML2010-1
[Invited Talk] Advances in Statistical Machine Learning -- An Approach based on Probability Density Ratios --
Masashi Sugiyama (Tokyo Inst. of Tech.)
p. 1

IBISML2010-2
[Invited Talk] All Pairs Similarity Search by Multiple Sorting
Koji Tsuda (AIST)
p. 3

IBISML2010-3
[Invited Talk] Relational Data Mining on Causal Relations Between Variables
Takashi Washio (Osaka Univ.)
p. 5

IBISML2010-4
[Invited Talk] Introduction and Recent Advance of Algebraic Geometry and Learning Theory
Sumio Watanabe (Tokyo Inst. of Tech.)
pp. 7 - 14

IBISML2010-5
[Invited Talk] Large-Scale String Processing: Theory and Practice
Daisuke Okanohara (Preferred Infrastructure Icn.)
pp. 15 - 22

IBISML2010-6
A Study on the Exact Nonlinear Regularization Path for L2 Loss Support Vector Machines
Masayuki Karasuyama, Ichiro Takeuchi (Nagoya Inst. of Tech.)
pp. 23 - 31

IBISML2010-7
Hierarchical Pitman-Yor Topic Model
Issei Sato, Hiroshi Nakagawa (Univ. of Tokyo.)
pp. 33 - 39

IBISML2010-8
Orthogonalization and thresholding method for a nonparametric regression problem
Katsuyuki Hagiwara (Mie Univ.)
pp. 41 - 48

IBISML2010-9
Privacy Preservation in Online Prediction
Jun Sakuma (Univ. of Tsukuba/JST), Hiromi Arai (U. Tsukuba)
pp. 49 - 56

IBISML2010-10
Collaborative Filtering with A Bayesian Hierarchical Model
Hideki Asoh (AIST)
pp. 57 - 62

IBISML2010-11
Customized Pricing Recommender System -- Simple Implementation and Preliminary Experiments --
Toshihiro Kamishima, Shotaro Akaho (AIST), Jun Sakuma (Univ. of Tsukuba/JST)
pp. 63 - 69

IBISML2010-12
Regularized Random Forest Method for Survival Analysis
Toshio Shimokawa (Yamanashi Univ.), Mitsuhiro Tsuji (Kansai Univ.)
pp. 71 - 77

IBISML2010-13
Multifaceted Data Mining with Influence Diffusion Model
Naohiro Matsumura (Osaka Univ.)
pp. 79 - 85

IBISML2010-14
[Invited Talk] Statistical Machine Learning Based on Nonparametric Bayesian Models
Takaki Makino (Univ. of Tokyo.)
pp. 87 - 94

IBISML2010-15
[Invited Talk] Statistical testing with large multiplicity
Shigeyuki Oba (Kyoto Univ./JST)
pp. 95 - 102

IBISML2010-16
[Invited Talk] Machine Learning in Object Recognition
Keiji Yanai (Univ. of Electro-Comm.)
pp. 103 - 112

IBISML2010-17
[Invited Talk] Recent Developments in Markov-chain Monte Carlo Method
Koji Hukushima (Univ. of Tokyo.)
pp. 113 - 118

IBISML2010-18
Inference of Multiple Absorbtion Bands for Reflectance Spectra Using Exchange Monte Carlo Method
Kenji Nagata, Seiji Sugita (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN)
pp. 119 - 124

IBISML2010-19
Efficient estimation of phase response curves using a data transformation
Ken Nakae (SOKENDAI)
pp. 125 - 129

IBISML2010-20
Generalization of TD-learning from a Semiparametric Statistical Viewpoint
Tsuyoshi Ueno, Shin-ichi Maeda (Kyoto Univ.), Motoaki Kawanabe (Fraunhofer First), Shin Ishii (Kyoto Univ.)
pp. 131 - 138

IBISML2010-21
New Feature Selection Method for Reinforcement Learning -- Conditional Mutual Information Reveals Implicit State-Reward Dependency --
Hirotaka Hachiya, Masashi Sugiyama (Tokyo Insst. of Tech.)
pp. 139 - 146

IBISML2010-22
Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise
Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.)
pp. 147 - 153

IBISML2010-23
An EM algorithm on binary decision diagrams with order encoding for propositional logic-based probabilistic models
Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato (Tokyo Inst. of Tech.), Shin-ichi Minato (Hokkaido Univ)
pp. 155 - 165

IBISML2010-24
Computational Customer Modeling by Using the Bayesian Network and the Double-latent Class Model in a Retail Service
Tsukasa Ishigaki, Takeshi Takenaka, Yoichi Motomura (AIST)
pp. 167 - 173

IBISML2010-25
A linear time algorithm for sequential dynamic model selection
Eiichi Sakurai, Kenji Yamanishi (Univ. of Tokyo.)
pp. 175 - 180

IBISML2010-26
The Coding Divergence for Measuring the Complexity of Separating Two Sets
Mahito Sugiyama, Akihiro Yamamoto (Kyoto Univ.)
pp. 181 - 187

IBISML2010-27
Graph Clustering based on Normalized Maximum Likelihood Coding
So Hirai, Ryota Tomioka, Kenji Yamanishi (Univ. of Tokyo)
pp. 189 - 195

IBISML2010-28
Biases of error rate by selection of models or algorithms and estimating the true error rate
Issei Kurahashi, Yasuo Ohashi (Univ. of Tokyo.)
pp. 197 - 204

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan