Thu, Mar 5 PM 13:00 - 17:15 |
|
- |
|
(1) |
13:00-14:00 |
[Invited Talk]
Detection of cheating in Boltzmann machine learning
-- A parameter-free algorithm to sparse solution -- |
Masayuki Ohzeki (KU) |
|
14:00-14:15 |
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.) |
|
15:45-16:15 |
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.) |
Fri, Mar 6 AM 10:30 - 11:30 |
(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) |
|
11:30-13:00 |
Break ( 90 min. ) |
Fri, Mar 6 PM 13:30 - 16:15 |
|
- |
|
(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) |
|
14:30-14:45 |
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) |