Fri, Jun 23 PM 14:25 - 18:05 |
(1) NC |
14:25-14:50 |
Improvement of The Success Rate of Communication based on Implicit Feedbacks |
Yuki Fumoto (Computer Mind), Takashi Sato (NIT, Okinawa College) |
(2) NC |
14:50-15:15 |
Emergence of Cooperative States by Indirect Sharing of Personalized Values |
Takashi Sato (NIT, Okinawa College), Kimika Ueyama (NEC-F) |
(3) NC |
15:15-15:40 |
Artificial cerebellar neuronal network model for context dependent flexible motor learning |
Shogo Takatori, Keiichiro Inagaki, Yutaka Hirata (Chubu Univ.) |
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15:40-16:00 |
Break ( 20 min. ) |
(4) NC |
16:00-16:25 |
Analysis of Robustness of Approximators Based on Neural Networks Against Redundant Dimensions |
Shoichi Someno, Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Tomoki Ichiba, Masahiko Morita (Tsukuba Univ.) |
(5) NC |
16:25-16:50 |
Analysis of Sequential Learning Capability of Selective Desensitization Neural Network |
Tomoki Ichiba, Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Syoichi Someno, Masahiko Morita (Tsukuba Univ.) |
(6) NC |
16:50-17:15 |
Satisfaction Estimation by Drinking Action using a 3D Convolutional Neural Network |
Tomofumi Nakano, Shohei Kato (NITech) |
(7) NC |
17:15-17:40 |
Visibility Prediction of Color Scheme with the Model of Human Color Vision composed of Convolutional Neural Networks |
Shodai Sasaki, Yoshihisa Shinozawa (Keio Univ.) |
(8) NC |
17:40-18:05 |
Kansei analysis of landscape images by Tensor SOM
-- Simultaneous analysis of evaluators, subjects, and evaluation words -- |
Kyouhei Itonaga (Kyutech), Tohru Iwasaki (Colorcle), Kaori Yoshida, Tetsuo Furukawa (Kyutech) |
Fri, Jun 23 PM 14:00 - 17:15 |
(9) |
14:00-14:25 |
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(10) |
14:25-14:50 |
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(11) |
14:50-15:15 |
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(12) |
15:15-15:40 |
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15:40-16:00 |
Break ( 20 min. ) |
(13) |
16:00-16:25 |
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(14) |
16:25-16:50 |
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(15) |
16:50-17:15 |
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Sat, Jun 24 AM 09:30 - 11:35 |
(16) NC |
09:30-09:55 |
Elementary cellular automata and dynamic binary neural networks |
Takahiro Ozawa, Kazuma Makita, Toshimichi Saito (Hosei Univ.) |
(17) NC |
09:55-10:20 |
Stability of fixed points and periodic orbits in dynamic binary neural networks |
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (Hosei Univ.) |
(18) NC |
10:20-10:45 |
Synchronization and stability of digital spiking neurons |
Hiroaki Uchida, Tomoki Hamaguchi, Toshimichi Saito (Hosei Univ.) |
(19) NC |
10:45-11:10 |
Analysis of Stability for Bilateral Network of Fly Motion-Sensitive Neurons |
Daiki Morita, Shun Nakamoto (Tokyo Inst. of Tech.), Takako Morimoto (Tokyo Univ of Pharmacy and Life Science), Toru Aonishi (Tokyo Inst. of Tech.) |
(20) NC |
11:10-11:35 |
The indirect effects of the ventral pallidum and the nucleus accumbens on the rats' action time |
Tsukasa Irei (Univ. of The Ryukyus), Makoto Ito (ProTec), Kenji Doya (OIST), Ryota Miyata (Univ. of The Ryukyus) |
Sat, Jun 24 AM 09:30 - 11:35 |
(21) IBISML |
09:30-09:55 |
Efficient Adversarial Combinatorial Bandit Algorithm via Zero-suppressed Decision Diagrams |
Shinsaku Sakaue (NTT), Masakazu Ishihata, Shin-ichi Minato (Hokkaido Univ.) |
(22) IBISML |
09:55-10:20 |
Algorithms for Bad Arm Existence Checking Problem |
Atsuyoshi Nakamura (Hokkaido Univ.) |
(23) IBISML |
10:20-10:45 |
Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags |
Han Bao (Univ. of Tokyo), Tomoya Sakai, Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) |
(24) IBISML |
10:45-11:10 |
Positive-Unlabeled Learning with Non-Negative Risk Estimator |
Ryuichi Kiryo (Univ. of Tokyo/RIKEN), Gang Niu (Univ. of Tokyo), Masashi Sugiyama (RIKEN/Univ. of Tokyo) |
(25) IBISML |
11:10-11:35 |
Learning from Complementary Labels |
Takashi Ishida (SMAM/Univ. of Tokyo), Gang Niu (Univ. of Tokyo), Masashi Sugiyama (RIKEN/Univ. of Tokyo) |
Sat, Jun 24 PM 12:55 - 17:15 |
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(26) NC |
13:00-13:25 |
Reinforcement learning for visual attention with scalable size of attentional field |
Yutaro Murata, Jun-nosuke Teramae, Naoki Wakamiya (Osaka Univ.) |
(27) NC |
13:25-13:50 |
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(28) |
13:50-14:15 |
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(29) |
14:15-14:40 |
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(30) |
14:40-15:05 |
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15:05-15:20 |
Break ( 15 min. ) |
(31) |
15:20-15:35 |
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(32) |
15:35-16:00 |
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(33) |
16:00-16:25 |
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(34) |
16:25-16:50 |
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(35) |
16:50-17:15 |
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Sat, Jun 24 PM 17:30 - 18:30 |
(36) |
17:30-18:30 |
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Sun, Jun 25 AM 09:30 - 12:55 |
(37) |
09:30-09:55 |
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(38) |
09:55-10:20 |
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(39) |
10:20-10:45 |
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10:45-11:00 |
Break ( 15 min. ) |
(40) |
11:00-11:25 |
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(41) |
11:25-11:50 |
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(42) |
11:50-12:15 |
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(43) |
12:15-12:40 |
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(44) |
12:40-12:55 |
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Sun, Jun 25 AM 09:30 - 11:50 |
(45) IBISML |
09:30-09:55 |
Expectation Propagation for t-Exponential Family |
Futoshi Futami, Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) |
(46) IBISML |
09:55-10:20 |
Stochastic Divergence Minimization for Biterm Topic Model |
Zhenghang Cui (Univ. of Tokyo), Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) |
(47) IBISML |
10:20-10:45 |
Learning with linearly transformed l0 sparsity |
Naoki Marumo, Tomoharu Iwata (NTT) |
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10:45-11:00 |
Break ( 15 min. ) |
(48) IBISML |
11:00-11:25 |
Validation of the Effectiveness of HPG in Large Scale POMDP Environment |
Kohei Suzuki, Shohei Kato (NITech) |
(49) IBISML |
11:25-11:50 |
Cost-sensitive Bayesian optimization for multiple objectives and its application to material science |
Tomohiro Yonezu (NITech), Tomoyuki Tamura, Ryo Kobayashi (NITech/NIMS), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) |