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商品詳細
Artificial Neural Networks and Machine Learning -- ICANN 2014: 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings. 2014 ed.
・ISBN 978-3-319-11178-0 paper EUR 49.99
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| 著者・編者 | Wermter, Stefan / Weber, Cornelius / Duch, Wlodzislaw / Honkela, Timo / Koprinkova-Hristova, Petia / Magg, Sven / Palm, Guenther / Villa, Allessandro E.P. (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2014 |
| ページ数 | 852 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-16009> |
解説
The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014.
The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications.
The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications.