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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)
Chair: Takashi Washio (Osaka Univ.)
Vice Chair: Kenji Fukumizu (ISM), Masashi Sugiyama (Tokyo Inst. of Tech.)
Secretary: Tomoko Matsui (ISM), Shigeyuki Ohba (Kyoto Univ.)
Assistant: Koji Tsuda (Univ. of Tokyo), Hisashi Kashima (Kyoto Univ.)
DATE:
Thu, Mar 5, 2015 13:00 - 17:15
Fri, Mar 6, 2015 10:30 - 16:15
PLACE:
Kyoto University, Research Bldg.8, Lecture room 1
TOPICS:
Statistical mathematics, machine learning, data mining, and others
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Thu, Mar 5 PM (13:00 - 17:15)
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(1) 13:00 - 14:00
[Invited Talk]
Detection of cheating in Boltzmann machine learning
-- A parameter-free algorithm to sparse solution --
Masayuki Ohzeki (KU)
----- Break ( 15 min. ) -----
(2) 14:15 - 14:45
Bayes Projection of Conditional Normalized Maximum Likelihood Distributions in Poisson Model and Linear Regression Model
Mutsuki Kojima, Fumiyasu Komaki (UT)
(3) 14:45 - 15:15
A Behavior of Stochastic Moving Multi-Agents
Futo Takiguchi, Naoki Sato, Isamu Shioya (Hosei Univ.)
(4) 15:15 - 15:45
Soft-thresholding with scaling for non-parametric orthogonal regression problem
Katsuyuki Hagiwara (Mie Univ.)
----- Break ( 30 min. ) -----
(5) 16:15 - 16:45
Adaptation of Machine Learning Method for Music Structure Analysis
Yoshiyuki Kushibe, Toshiaki Takita (Univ. of Tsukuba), Masatoshi Hamanaka (Kyoto Univ.), Sakurako Yazawa, Junichi Hoshino (Univ. of Tsukuba)
(6) 16:45 - 17:15
Effects of Numerical Errors against Sample Mahalanobis Distances
Yasuyuki Kobayashi (Teikyo Univ.)
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Fri, Mar 6 AM (10:30 - 11:30)
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(7) 10:30 - 11:00
Quality control in human-machine hybrid crowdsourcing
Toshihiro Watanabe (UTokyo), Toshinari Itoko, Shin Saito, Masatomo Kobayashi, Hironobu Takagi (IBM), Hisashi Kashima (Kyoto Univ.)
(8) 11:00 - 11:30
Asymptotic Properties of Area Under the ROC Curve via Likelihood Ratio Based Ranking Function
Kentaro Nakanishi, Toshiyuki Tanaka (Kyoto Univ.), Naonori Ueda (NTT)
----- Break ( 90 min. ) -----
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Fri, Mar 6 PM (13:30 - 16:15)
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(9) 13:30 - 14:30
[Invited Talk]
Applications of machine learning techniques in materials science based on systematic density-functional calculations
Atsuto Seko, Isao Tanaka (KU)
----- Break ( 15 min. ) -----
(10) 14:45 - 15:15
An Efficient Incremental-Decremental Data Filtering Method for Stream Learning
Kota Matsui, Saori Kurumi, Ichiro Takeuchi (Nitech)
(11) 15:15 - 15:45
Recognition of daily-life actions by machine learning methods
Yu Kodama, Shigeyuki Oba, Shin Ishii (Kyoto Univ.)
(12) 15:45 - 16:15
Model selection with approximate validation error guarantee for (L^2_2) regularized convex loss minimization problems
Atsushi Shibagaki, Yoshiki Suzuki, Ichiro Takeuchi (NIT)
# Information for speakers
General Talk will have 25 minutes for presentation and 5 minutes for discussion.
=== Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) ===
# FUTURE SCHEDULE:
Tue, Jun 23, 2015 - Thu, Jun 25, 2015: Okinawa Institute of Science and Technology [Fri, May 8], Topics: Machine Learning Approach to Biodata Mining, and General
Last modified: 2015-03-05 16:32:39
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