Stefan Wermter

Wlodzislaw Duch

Günther Palm

Cornelius Weber

Petia Koprinkova-Hristova

Timo Honkela

Sven Magg

Allessandro E.P. Villa

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.

24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings

Artificial Neural Networks and Machine Learning -- ICANN 2014

Mark Girolami

Włodzisław Duch

Samuel Kaski

This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings

Artificial Neural Networks and Machine Learning - ICANN 2011

Timo Honkela

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