Thu, Jan 9 PM Machine Learning 13:00 - 14:40 |
(1) |
13:00-13:25 |
Asymptotic Behavior of Bayesian Generalization Error in Multinomial Mixtures |
Takumi Watanabe, Sumio Watanabe (Tokyo Tech) |
(2) |
13:25-13:50 |
Real Log Canonical Threshold of Three Layered Neural Network with Swish Activation Function |
Raiki Tanaka, Sumio Watanabe (Tokyo Tech) |
(3) |
13:50-14:15 |
Dimensionality reduction method for gaussian process posteriors based on information geometry |
Hideaki Ishibashi (Kyutech), Shotaro Akaho (AIST/RIKEN) |
(4) |
14:15-14:40 |
Statistical Learning Theory of Data changed in Value |
Satoshi Kataoka (Titech) |
Thu, Jan 9 PM Machine Learning 14:55 - 17:35 |
(5) |
14:55-15:20 |
Approximation Ratios of Graph Neural Networks for Combinatorial Problems |
Ryoma Sato, Makoto Yamada, Hisashi Kashima (Kyoto Univ.) |
(6) |
15:20-15:45 |
Robust recovery of highly corrupted low-rank matrix via augmented Lagrangian multiplier |
Tuersunjiang Yimamu, Toshio Eisaka (Kitami Inst. of Tech.) |
(7) |
15:45-16:10 |
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16:10-16:20 |
Break ( 10 min. ) |
(8) |
16:20-16:45 |
Evaluation of effective degree of freedom of physical model by learning capacity |
Yoh-ichi Mototake (ISM), Kenji Nagata (NIMS) |
(9) |
16:45-17:10 |
Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis |
Y-h. Taguchi (Chuo Univ.) |
(10) |
17:10-17:35 |
An Implementation of Artificial General Intelligence based on motion information extracted from video |
Kenichi Koike |
Fri, Jan 10 AM Machine Learning 11:00 - 11:50 |
(11) |
11:00-11:25 |
Hybrid authentication model using handwritten images by Siamese Network and dynamic information |
Daisuke Hayashi, Taisuke Kawamata, Toru Kano, Takako Akakura (TUS) |
(12) |
11:25-11:50 |
Real-time 3D localization of multifocal plane microscopy using deep neural network |
Toshimitsu Aritake (Waseda Univ.), Hideitsu Hino (ISM), Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose (The Univ. of Tokyo), Noboru Murata (Waseda Univ.) |
Fri, Jan 10 PM Machine Learning 13:15 - 14:30 |
(13) |
13:15-13:40 |
A Change Detection Method based on Temporal Variation of Subspace Geometry |
Honami Kanamori, Naoya Sogi, Kazuhiro Fukui (Univ. Tsukuba) |
(14) |
13:40-14:05 |
Non-compensatory Temporal IRT with Local Variational Approximation |
Hiroshi Tamano (NEC/SOKENDAI), Daichi Mochihashi (ISM) |
(15) |
14:05-14:30 |
Active learning for multiple data selection using reinforcement learning |
Yuusuke Taguchi (Univ. of Tsukuba), Hideitsu Hino (ISM), Keisuke Kameyama (Univ. of Tsukuba) |