Artificial Neural Networks and Machine Learning -- ICANN 2014
24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings
Editors: Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., Villa, A.E.P. (Eds.)
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- About this book
-
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.
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Artificial Neural Networks and Machine Learning -- ICANN 2014
- Book Subtitle
- 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings
- Editors
-
- Stefan Wermter
- Cornelius Weber
- Wlodzislaw Duch
- Timo Honkela
- Petia Koprinkova-Hristova
- Sven Magg
- Günther Palm
- Allessandro E.P Villa
- Series Title
- Theoretical Computer Science and General Issues
- Series Volume
- 8681
- Copyright
- 2014
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-11179-7
- DOI
- 10.1007/978-3-319-11179-7
- Softcover ISBN
- 978-3-319-11178-0
- Edition Number
- 1
- Number of Pages
- XXV, 852
- Number of Illustrations and Tables
- 338 b/w illustrations
- Topics
