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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| KBSE | 2020-09-18 13:30 |
Online | Online | Exploitation Patterns and systematization of issues for Machine Learning Systems Satoshi Okuda (JAIST), Norihiko Ishitani (Weathernews), Toshiki Mori, Gaku Nemoto (JAIST), Kazuhiko Nishimura (VoiceResearch), Naoshi Uchihira (JAIST)  KBSE2020-4 |
The rapid increase in the development of machine learning systems in companies today presents new challenges that have n... [more] | KBSE2020-4 pp.19-24 |
| NLC | 2017-09-07 13:10 |
Tokyo | Seikei University | Protective actions increase victim's success in thwarting sexual exploitation
-- Word2Vec analysis on official suit documents about sexual offence -- Kenji Yokotani (Niigata Seiryo Univ.) NLC2017-16 |
Victim’s protective actions, such as hitting and kicking sexual offenders, reportedly increased victim’s success in thwa... [more] | NLC2017-16 pp.19-24 |
| SANE | 2016-11-25 11:00 |
Overseas | National Taipei University of Technology (NTUT) | Multi-path Exploitation Method Using Doppler Based Signal Recognition for UWB Through-the-wall Radar Masafumi Setsu, Shouhei Kidera (UEC) SANE2016-91 |
Through-the-wall radar (TWR) with ultra-wideband (UWB) signals is promising three-dimensional (3-D) sensor for the appli... [more] | SANE2016-91 pp.209-214 |
| HCS | 2013-11-09 15:05 |
Osaka | Osaka Univ. (Toyonaka) | Evaluating human-likeness of an Android by a Non-Zero-Sum Repeated Game Yudai Miyake, Kazunori Terada (Gify Univ.), Masahiro Yoshikawa (NAIST), Yoshio Matsumoto (AIST), Hideyuki Takahashi (Osaka Univ.), Akira Ito (Gify Univ.) HCS2013-63 |
The present study investigated whether humans treat an android robot as a human-like interactive agent by using a repea... [more] |
HCS2013-63 pp.73-78 |
| NC, MBE [detail] | 2010-12-19 13:55 |
Aichi | Nagoya Univ. | The Profit Sharing strengthening learning method using the dynamic strengthening function based on an action history Masanori Kakuyaa, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) MBE2010-73 NC2010-84 |
A Profit Sharing Reinforcement Learning (PSRL) method can realize robust learning not only in Markov Decision Process (M... [more] | MBE2010-73 NC2010-84 pp.103-108 |
| NC, MBE (Joint) |
2010-03-10 15:25 |
Tokyo | Tamagawa University | Several Methods of Curiosity-Driven Multi-Swarm Search Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2009-140 |
In this paper, we propose several methods of curiosity-driven multi-swarm search, i.e. multiple particle swarm optimizer... [more] | NC2009-140 pp.309-314 |
| NC, MBE (Joint) |
2009-03-12 16:05 |
Tokyo | Tamagawa Univ. | Effects of Canonical Particle Swarm Optimizer with Diversive Curiosity Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2008-137 |
This paper proposes a new method, named Canonical Particle Swarm Optimizer with Diversive Curiosity (CPSO/DC), which is ... [more] | NC2008-137 pp.201-206 |
| AP | 2008-03-14 09:45 |
Aichi | Nanzan Univ. | Array signal processing for secondary spectrum use
-- Innovation for adaptive array -- Kentaro Nishimori (NTT), Hiroyuki Yomo, Petar Popovski (AAU) AP2007-186 |
MIMO, UWB and Cognitive radio were proposed as techniques for improving frequency utilization. In this paper, we conside... [more] | AP2007-186 pp.77-82 |
| NC, MBE (Joint) |
2008-03-13 14:10 |
Tokyo | Tamagawa Univ | Policy gradient method for a policy function with probabilistic parameters Yutaka Nakamura (Osaka Univ.) NC2007-170 |
Stochastic policy gradient methods are a type of reinforcement learning method, where the parameter of the policy parame... [more] | NC2007-170 pp.343-348 |
| NLP | 2005-06-23 13:55 |
Hiroshima | Hiroshima City Univ. | n/a n/a, Takeshi Kamio, Kunihiko Mitsubori, Hisato Fujisaka (n/a) |
The trade-off between exploration and exploitation has often been discussed in studies on reinforcement learning (RL). T... [more] | NLP2005-20 pp.25-30 |
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