Session information

Oral presentation

General Session » [General Session] 2. Machine Learning

[1Z1] [General Session] 2. Machine Learning

Tue. Jun 5, 2018 1:20 PM - 3:00 PM Room Z (3F Matsu Take)

座長:大塚琢馬（NTT）

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1:20 PM - 1:40 PM

[1Z1-01] Concept-drift-aware Stochastic Gradient Descent

〇Kohei Miyaguchi¹, Hiroshi Kajino² (1. Graduate School of Information Science and Technology, The University of Tokyo, 2. IBM Research - Tokyo)

1:40 PM - 2:00 PM

[1Z1-02] Statistical Evaluation for Mode Selection in Sparsity-promoting Dynamic Mode Decomposition

〇Masashi Hiraoka¹, Yoshinobu Kawahara^1,2, Takashi Washio¹ (1. The Institute of Science and Industrial Research, Osaka University, 2. Center for Advanced Intelligence Project, RIKEN)

2:00 PM - 2:20 PM

[1Z1-03] Expert-based reward function training: the novel method to train sequence generators

〇Joji Toyama¹, Yusuke Iwasawa¹, Yutaka Matsuo¹ (1. The University of Tokyo)

2:20 PM - 2:40 PM

[1Z1-04] Dynamic mode decomposition using supervised principal component analysis

〇Takehito Bito¹, Yoshinobu Kawahara^1,2, Takashi Washio¹ (1. Osaka university, 2. RIKEN)

2:40 PM - 3:00 PM

[1Z1-05] Bayesian Estimation and Model Averaging of CNN by Hypernet

〇Kenya Ukai¹, Takashi Matsubara¹, Kuniaki Uehara¹ (1. Graduate School of System Infomatics, Kobe University)

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