===============================================
Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)
Chair: Kenji Yamanishi (Univ. of Tokyo) Vice Chair: Naonori Ueda (NTT), Tomoyuki Higuchi (ISM)
Secretary: Masashi Sugiyama (Tokyo Inst. of Tech.), Tsuyoshi Ide (IBM)
Assistant: Daichi Mochihashi (NTT), Shigeyuki Ohba (Kyoto Univ.)
DATE:
Mon, Jun 14, 2010 09:30 - 17:40
Tue, Jun 15, 2010 09:30 - 17:50
PLACE:
Takeda Hall, Univ. of Tokyo(http://www.u-tokyo.ac.jp/campusmap/cam01_04_16_j.html)
TOPICS:
Machine learning, etc.
----------------------------------------
Mon, Jun 14 AM Opening (09:30 - 09:35)
----------------------------------------
Greetings from IBISML steering committee
----------------------------------------
Mon, Jun 14 AM Special session 1 (09:35 - 12:10)
Chair: Tsuyoshi Ide (IBM)
----------------------------------------
(1) 09:35 - 10:25
[Invited Talk]
Advances in Statistical Machine Learning
-- An Approach based on Probability Density Ratios --
Masashi Sugiyama (Tokyo Inst. of Tech.)
(2) 10:25 - 11:15
[Invited Talk]
All Pairs Similarity Search by Multiple Sorting
Koji Tsuda (AIST)
----- Break ( 5 min. ) -----
(3) 11:20 - 12:10
[Invited Talk]
Relational Data Mining on Causal Relations Between Variables
Takashi Washio (Osaka Univ.)
----- Lunch Break ( 80 min. ) -----
----------------------------------------
Mon, Jun 14 PM Special session 2 (13:30 - 15:20)
Chair: Kenji Yamanishi (U. Tokyo)
----------------------------------------
(1) 13:30 - 14:20
[Invited Talk]
Introduction and Recent Advance of Algebraic Geometry and Learning Theory
Sumio Watanabe (Tokyo Inst. of Tech.)
----- Break ( 10 min. ) -----
(2) 14:30 - 15:20
[Invited Talk]
Large-Scale String Processing: Theory and Practice
Daisuke Okanohara (Preferred Infrastructure Icn.)
----- Break ( 10 min. ) -----
----------------------------------------
Mon, Jun 14 PM Contributed talks (new approaches) (15:30 - 16:15)
Chair: Toshihiro Kamishima (AIST)
----------------------------------------
(1) 15:30 - 15:45
A Study on the Exact Nonlinear Regularization Path for L2 Loss Support Vector Machines
Masayuki Karasuyama, Ichiro Takeuchi (Nagoya Inst. of Tech.)
(2) 15:45 - 16:00
Hierarchical Pitman-Yor Topic Model
Issei Sato, Hiroshi Nakagawa (Univ. of Tokyo.)
(3) 16:00 - 16:15
Orthogonalization and thresholding method for a nonparametric regression problem
Katsuyuki Hagiwara (Mie Univ.)
----- Break ( 10 min. ) -----
----------------------------------------
Mon, Jun 14 PM Contributed talks (combining models and data) (16:25 - 17:40)
Chair: Hisashi Kashima (U. Tokyo)
----------------------------------------
(1) 16:25 - 16:40
Privacy Preservation in Online Prediction
Jun Sakuma (Univ. of Tsukuba/JST), Hiromi Arai (U. Tsukuba)
(2) 16:40 - 16:55
Collaborative Filtering with A Bayesian Hierarchical Model
Hideki Asoh (AIST)
(3) 16:55 - 17:10
Customized Pricing Recommender System
-- Simple Implementation and Preliminary Experiments --
Toshihiro Kamishima, Shotaro Akaho (AIST), Jun Sakuma (Univ. of Tsukuba/JST)
(4) 17:10 - 17:25
Regularized Random Forest Method for Survival Analysis
Toshio Shimokawa (Yamanashi Univ.), Mitsuhiro Tsuji (Kansai Univ.)
(5) 17:25 - 17:40
Multifaceted Data Mining with Influence Diffusion Model
Naohiro Matsumura (Osaka Univ.)
----- Banquet (Place: Lever son Verre Hongo http://www.madoi-co.com/food/leversonverre/hongo.html ) ( 120 min. ) -----
----------------------------------------
Tue, Jun 15 AM Special session 3 (09:30 - 12:10)
Chair: Tsuyoshi Ide (IBM)
----------------------------------------
(1) 09:30 - 10:20
[Invited Talk]
Statistical Machine Learning Based on Nonparametric Bayesian Models
Takaki Makino (Univ. of Tokyo.)
----- Break ( 5 min. ) -----
(2) 10:25 - 11:15
[Invited Talk]
Statistical testing with large multiplicity
Shigeyuki Oba (Kyoto Univ./JST)
----- Break ( 5 min. ) -----
(3) 11:20 - 12:10
[Invited Talk]
Machine Learning in Object Recognition
Keiji Yanai (Univ. of Electro-Comm.)
----- Lunch break ( 80 min. ) -----
----- Announcement (Shigeyuki Oba, Daichi Mochihashi) -----
----------------------------------------
Tue, Jun 15 PM Special session 4 (13:30 - 14:20)
Chair: Kenji Yamanishi (U. Tokyo)
----------------------------------------
(1) 13:30 - 14:20
[Invited Talk]
Recent Developments in Markov-chain Monte Carlo Method
Koji Hukushima (Univ. of Tokyo.)
----- Break ( 10 min. ) -----
----------------------------------------
Tue, Jun 15 PM Contributed talks (learning for physics) (14:30 - 15:00)
Chair: Daichi Mochihashi (NTT)
----------------------------------------
(1) 14:30 - 14:45
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)
(2) 14:45 - 15:00
Efficient estimation of phase response curves using a data transformation
Ken Nakae (SOKENDAI)
----- Break ( 10 min. ) -----
----------------------------------------
Tue, Jun 15 PM Contributed talks (reinforcement learning) (15:10 - 15:40)
Chair: Shigeyuki Oba (Kyoto U.)
----------------------------------------
(1) 15:10 - 15:25
Generalization of TD-learning from a Semiparametric Statistical Viewpoint
Tsuyoshi Ueno, Shin-ichi Maeda (Kyoto Univ.), Motoaki Kawanabe (Fraunhofer First), Shin Ishii (Kyoto Univ.)
(2) 15:25 - 15:40
New Feature Selection Method for Reinforcement Learning
-- Conditional Mutual Information Reveals Implicit State-Reward Dependency --
Hirotaka Hachiya, Masashi Sugiyama (Tokyo Insst. of Tech.)
----- Break ( 10 min. ) -----
----------------------------------------
Tue, Jun 15 PM Contributed talks (probabilistic networks) (15:50 - 16:35)
Chair: Takashi Washio (Osaka U.)
----------------------------------------
(1) 15:50 - 16:05
Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise
Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.)
(2) 16:05 - 16:20
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)
(3) 16:20 - 16:35
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)
----- Break ( 10 min. ) -----
----------------------------------------
Tue, Jun 15 PM Contributed talks (model selection) (16:45 - 17:45)
Chair: Masashi Sugiyama (Tokyo Tech.)
----------------------------------------
(1) 16:45 - 17:00
A linear time algorithm for sequential dynamic model selection
Eiichi Sakurai, Kenji Yamanishi (Univ. of Tokyo.)
(2) 17:00 - 17:15
The Coding Divergence for Measuring the Complexity of Separating Two Sets
Mahito Sugiyama, Akihiro Yamamoto (Kyoto Univ.)
(3) 17:15 - 17:30
Graph Clustering based on Normalized Maximum Likelihood Coding
So Hirai, Ryota Tomioka, Kenji Yamanishi (Univ. of Tokyo)
(4) 17:30 - 17:45
Biases of error rate by selection of models or algorithms and estimating the true error rate
Issei Kurahashi, Yasuo Ohashi (Univ. of Tokyo.)
----------------------------------------
Tue, Jun 15 PM Closing (17:45 - 17:50)
----------------------------------------
Closing remarks and introduction to the next workshop
# Information for speakers
General Talk (15) will have 10 minutes for presentation and 5 minutes for discussion.
Invited Talk (50) will have 45 minutes for presentation and 5 minutes for discussion.
=== Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) ===
# FUTURE SCHEDULE:
Sun, Sep 5, 2010 - Mon, Sep 6, 2010: Fukuoka Univ. [Mon, Jun 14], Topics: Machine learning and optimization for computer vision and pattern recognition, etc.
Last modified: 2010-06-05 01:38:15
|
Notification: Mail addresses are partially hidden against SPAM.
|