[2H3-J-2] Machine learning: selective preprocess

Wed. Jun 5, 2019 1:20 PM - 3:00 PM Room H (303+304 Small meeting rooms)

Chair:Yoji Kiyota Reviewer:Satoshi Oyama

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1:20 PM - 1:40 PM

[2H3-J-2-01] Surround Inhibition Mechanism by Deep Learning

〇Mamoru Sugamoto¹, Naoaki Fujimoto², Muneharu Onoue³, Tsukasa Yumibayashi⁴, Akio Sugamoto⁵ (1. apprhythm inc., 2. Tama Art U., 3. Geelive, Inc, 4. Otsuma Women’s U., 5. Ochanomizu U. and OUJ)

1:40 PM - 2:00 PM

[2H3-J-2-02] Adaptive Learning Rate Adjustment with Short-Term Pre-Training in Data-Parallel Deep Learning

〇Kazuki Yamada¹, Haruki Mori¹, Tetsuya Youkawa¹, Yuki Miyauchi¹, Shintaro Izumi¹, Masahiko Yoshimoto¹, Hiroshi Kawaguchi¹ (1. Kobe University)

2:00 PM - 2:20 PM

[2H3-J-2-03] Adaptability of Cognitive Satisficing Algorithm in Nonstationary Environments

〇Yuto Hanayasu¹, Kenshi Saito², Yuki Yoshii¹, Yu Kono¹, Tatsuji Takahashi¹ (1. School of Science and Engineering, Tokyo Denki University, 2. Graduate School of Tokyo Denki University)

2:20 PM - 2:40 PM

[2H3-J-2-04] A proposal of a new variable selection method utilizing gene's distribution information and solutions search progress rate of Real-coded genetic algorithms

〇Takahiro OBATA¹, Setsuya KURAHASHI¹ (1. University of Tsukuba)

2:40 PM - 3:00 PM

[2H3-J-2-05] Feature Oriented Attention to Extract Attribution for Multivariate Time-Series Data

〇Shuhei Asano¹, Keisuke Kiritoshi¹, Tomonori Izumitani¹ (1. NTT Communications Corporation)

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