Artificial neural networks and machine learning - ICANN 2014: 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15 - 19, 2014 ; proceedings
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 follow...
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| Other Authors: | , , , , , , |
| Format: | Conference Paper |
| Language: | English |
| Published: |
Cham [u.a.]
Springer
2014
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| Series: | Lecture notes in computer science
8681 |
| In: |
Lecture notes in computer science (8681)
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| Volumes / Articles: | Show Volumes / Articles. |
| Subjects: | |
| Online Access: | Verlag, Inhaltsverzeichnis, Inhaltsverzeichnis: http://www.gbv.de/dms/tib-ub-hannover/79931756x.pdf Cover: https://swbplus.bsz-bw.de/bsz419947701cov.jpg 
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| Author Notes: | Stefan Wermter; Cornelius Weber; Wlodzislaw Duch; Timo Honkela; Petia Koprinkova-Hristova; Sven Magg; Günther Palm; Alessandro E. P. Villa (eds.) |
| Summary: | 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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| Item Description: | Literaturangaben |
| ISBN: | 9783319111780 |