IEICE Technical Report

Online edition: ISSN 2432-6380

Infomation-Based Induction Sciences and Machine Learning

Workshop Date : 2021-06-28 - 2021-06-29 / Issue Date : 2021-06-21

IBISML2021-1
Nonparametric Bayesian Deep Visualization
Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM)
pp. 1 - 8

IBISML2021-2
Training Neural ODE by Symplectic Integrator
Takashi Matsubara, Yuto Miyatake (Osaka Univ.), Takaharu Yaguchi (Kobe Univ.)
pp. 9 - 14

IBISML2021-3
Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF
Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)
pp. 15 - 22

IBISML2021-4
Modification of Optimization Problem in Randomized NMF and Design of Optimization Method based on HALS Algorithm
Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)
pp. 23 - 30

IBISML2021-5
Development of Automatic Driving Methods for Moving Bodies Based on the Just-In-time Control Method
Tatsuya Kai (Tokyo Univ. of Science), Ryouhei Kakurai (TOTO LTD.), Kazuki Fukawa, Shouichi Miyagaitsu (Tokyo Univ. of Science)
pp. 31 - 38

IBISML2021-6
Predictive Graph Mining using Graphs with Interval Attributes
Hinata Asahi, Masayuki Karasuyama (NIT)
pp. 39 - 46

IBISML2021-7
Active learning for distributionally robust chance-constrained optimization
Yu Inatsu, Shion Takeno, Masayuki Karasuyama (Nitech), Ichiro Takeuchi (Nitech/RIKEN)
pp. 47 - 54

IBISML2021-8
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN)
pp. 55 - 61

IBISML2021-9
Constellation of time dependent data using information geometry
Taiki Sugiura, Takuma Fuse (Recruit), Noboru Murata (Waseda Univ.)
pp. 62 - 69

IBISML2021-10
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda (NTT)
pp. 70 - 77

IBISML2021-11
Translation Dose Not Contain Meaning -- Translation is Physical Layer Phenomenon --
Kumon Tokumaru (Writer)
pp. 78 - 84

IBISML2021-12
A system which gives prediction only when prediction is judged possible
Rina Moromizato, Akari Takamine, Koji Kurata (Ryukyu Univ.)
pp. 85 - 90

IBISML2021-13
Proposal of an Analysis Method for fNIRS Using Machine Learning
Reiji Ohkuma, Yuto Kurihara, Rieko Osu (Waseda Univ.)
pp. 91 - 96

IBISML2021-14
Investigation of pretext task for a classification model of human interaction motion
Kenshiro Ata, Yusuke Nishimura (Osaka Univ.), Yuya Okadome, Yutaka Nakamura (RIKEN GRP), Hiroshi Ishiguro (Osaka Univ.)
pp. 97 - 102

IBISML2021-15
Development of a generative model for motion pair of two faces during interaction
Shota Takashiro (Osaka Univ.), Yutaka Nakamura, Yuya Okadome (GRP), Yusuke Nishimura (.Osaka Univ), Hiroshi Ishiguro (Osaka Univ)
pp. 103 - 107

IBISML2021-16
A finite state markov-chain approximation of the intermittent control model during human quiet standing using a finite element analysis of stochastic hybrid dynamical system
Yasuyuki Suzuki, Keigo Togame, Akihiro Nakamura, Taishin Nomura (Osaka Univ)
pp. 108 - 113

IBISML2021-17
Consideration of the effects of the basal ganglia activity and past experience on the choice behavior in rats using partial information decomposition
Iori Sugiura, Tsukasa Irei (Univ. Ryukyus), Kenji Doya (OIST), Koji Kurata, Ryota Miyata (Univ. Ryukyus)
pp. 114 - 119

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan