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Technical Committee on Neurocomputing (NC)  (Searched in: 2020)

Search Results: Keywords 'from:2020-06-29 to:2020-06-29'
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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2020-06-29
11:15		 Online Online Mobile Neuron (1) -- Why Dr. Pavlov Repeatedly Removed the Neocortex of Dogs? --
Kumon Tokumaru (Writer) NC2020-1 IBISML2020-1		 Neural Network Computation Model in information processing is quite different from biological organism of living creatur... [more] NC2020-1 IBISML2020-1
pp.1-6
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2020-06-29
13:00		 Online Online How to Cope with the 3rd Digital Evolution of Linguistic Humans -- Group Theory for Concepts and FEC --
Kumon Tokumaru (writer) NC2020-2 IBISML2020-2		 Human speech voice acquired frequency domain discrete element of phoneme and time domain discrete element of mora, thank... [more] NC2020-2 IBISML2020-2
pp.7-14
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2020-06-29
13:25		 Online Online A Study on Centralized and Distributed Intelligent Particle Multi-Swarm Optimization
Hiroshi Sho (Kyutech) NC2020-3 IBISML2020-3		 In this paper, we propose a new method of distributed intelligent particle multi-swarm optimization (DIPMSO) contrast to... [more] NC2020-3 IBISML2020-3
pp.15-20
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2020-06-29
13:50		 Online Online Performance comparison of autoencoders and sparse PCAs
Masumi Ishikawa (Kyutech) NC2020-4 IBISML2020-4		 Principal component analysis (PCA) is an effective tool for clarifying data structure. Each principal component includes... [more] NC2020-4 IBISML2020-4
pp.21-26
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2020-06-29
15:00		 Online Online Supervised monocular depth estimation using multi-task learning and self multiple-input with depth gradient.
Michiru Takamine, Satoshi Endo (Univ. Ryukyu.) NC2020-5 IBISML2020-5		  [more] NC2020-5 IBISML2020-5
pp.27-32
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2020-06-29
15:25		 Online Online A Study on Model-based Deep Reinforcement Learning Using Autonomous Search for Subgoal
Motoki Maruyama, Satoshi Endo, Koji Yamada (Univ. of the Ryukyus) NC2020-6 IBISML2020-6		 Model-based deep reinforcement learning (DRL) is more sample-efficient than model-free DRL. But it requires a deep gener... [more] NC2020-6 IBISML2020-6
pp.33-38
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2020-06-29
15:50		 Online Online Efficient Reinforcement learning for Automation of ICT System Design
Yutaka Yakuwa, Takashi Maruyama, Takuya Kuwahara, Takayuki Kuroda (NEC) NC2020-7 IBISML2020-7		  [more] NC2020-7 IBISML2020-7
pp.39-46
 Results 1 - 7 of 7  /   
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