Paper Abstract and Keywords |
Presentation |
2015-01-29 16:30
Implementation of the higher-rank of SOM using formal neurons Yuta Saho, Kiyohisa Natsume, Tetsuo Furukawa (Kyutech) NC2014-62 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The purpose of this work is building a neural network model which performs meta-model learning. The term `meta-model learning' used here means a kind of meta-learning or multi-task learning scheme, aiming discovering general knowledge from individual experiences. For this purpose, the meta-learner needs to learn a set of models organized by the primary learners. It means that the model information of the primary learners should be transferred to the meta-learner. The central issue of this work is what kind of neural circuit is required to transfer the model information, which seems to be stored as synaptic weights in the neurons. In this paper, we propose an implementation using a neural field in which propagation wave traverses. We implemented the higher-rank of self-organizing map by using this model, as a representative algorithm of meta-model learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
meta-model learning / meta-learning / multi-task learning / transfer learning / general knowledge discovering / formal neuron / higher-rank of SOM / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 437, NC2014-62, pp. 27-32, Jan. 2015. |
Paper # |
NC2014-62 |
Date of Issue |
2015-01-22 (NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NC2014-62 |
Conference Information |
Committee |
NC |
Conference Date |
2015-01-29 - 2015-01-30 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyushu Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Implementation of Neuro Computing,Analysis and Modeling of Human Science, etc |
Paper Information |
Registration To |
NC |
Conference Code |
2015-01-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Implementation of the higher-rank of SOM using formal neurons |
Sub Title (in English) |
|
Keyword(1) |
meta-model learning |
Keyword(2) |
meta-learning |
Keyword(3) |
multi-task learning |
Keyword(4) |
transfer learning |
Keyword(5) |
general knowledge discovering |
Keyword(6) |
formal neuron |
Keyword(7) |
higher-rank of SOM |
Keyword(8) |
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1st Author's Name |
Yuta Saho |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
2nd Author's Name |
Kiyohisa Natsume |
2nd Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
3rd Author's Name |
Tetsuo Furukawa |
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Kyushu Institute of Technology (Kyutech) |
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Speaker |
Author-1 |
Date Time |
2015-01-29 16:30:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2014-62 |
Volume (vol) |
vol.114 |
Number (no) |
no.437 |
Page |
pp.27-32 |
#Pages |
6 |
Date of Issue |
2015-01-22 (NC) |
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