Schedule (DMSS2009)

DMSS2009 Program

Time for presentation

13:20-13:30: Opening Remark
13:30-15:00: Session 1
Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning: Takayuki Akiyama, Hirotaka Hachiya, and Masashi Sugiyama (Tokyo Institute of Technology)
Visual Inspection of Precision Instruments by Least-Squares Outlier Detection: Masafumi Takimoto, Masakazu Matsugu (Canon), and Masashi Sugiyama (Tokyo Institute of Technology)
Extracting Phases of Financial Markets: Teruko Takada (Osaka City University)
15:00-15:15: Break
15:15-16:15: Session 2
Recent Topics on BDDs/ZDDs for Data Mining and Knowledge Discovery (Invited Talk): Shin-ichi Minato (Hokkaido University)
16:15-16:30: Break
16:30-17:30: Session 3
Dimensionality Reduction for Density Ratio Estimation in High-dimensional Spaces: Masashi Sugiyama (Tokyo Institute of Technology), Motoaki Kawanabe (Fraunhofer Institute FIRST), and Pui Ling Chui (Tokyo Institute of Technology)
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation: Taiji Suzuki (University of Tokyo) and Masashi Sugiyama (Tokyo Institute of Technology)

10:00-11:30: Session 4
Identification of an Exogenous Variable in a Linear non-Gaussian Structural Equation Model: Shohei Shimizu (Osaka University), Aapo Hyvarinen (University of Helsinki), Yoshinobu Kawahara (Tokyo Institute of Technology), and Takashi Washio (Osaka University)
Maximum Likelihood Estimation for Failed-Link Detection in Communication Networks: Shohei Hido (Kyoto University, IBM Research) and Yutaka Takahashi (Kyoto University)
Gaussian Mixture Models and VC Dimensions: Yohji Akama (Tohoku University)
11:30-13:30: Lunch
13:30-14:30: Session 5
Invited Talk: Katsutoshi Yada (Kansai University)
14:30-14:45: Break
14:45-16:15: Session 6
Monolithic and Partial Compilation Methods for Probabilistic Inference of Bayesian Networks using ZBDDs: Daisuke Tokoro, Kiyoharu Hamaguchi, Toshinobu Kashiwabara (Osaka University), and Shin-ichi Minato (Hokkaido University)
Pattern Discovery from a Single Graph with Quantitative Itemsets: Yuuki Miyoshi, Tomonobu Ozaki, and Takenao Ohkawa (Kobe University)
Mining Frequent Patterns from Linear Graphs: Yasuo Tabei, Daisuke Okanohara (University of Tokyo), and Koji Tsuda (National Institute of Advanced Industrial Science and Technology)
16:15-16:20: Closing Remark