Artificial Neural Networks and Machine Learning - ICANN 2014: 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings: 8681 - Brossura

Brossura

ISBN 10: 3319111787 ISBN 13: 9783319111780

Casa editrice: Springer-Nature New York Inc, 2014

Riassunto

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.

Su questo libro

Contenuti:

Recurrent Networks.- Sequence Learning.- Echo State Networks.- Recurrent Network Theory.- Competitive Learning and Self-Organisation.- Clustering and Classification.- Trees and Graphs.- Human-Machine Interaction.- Deep Networks.- Theory.- Optimization.- Layered Networks.- Reinforcement Learning and Action.- Vision.- Detection and Recognition.- Invariances and Shape Recovery.- Attention and Pose Estimation.- Supervised Learning.- Ensembles.- Regression.- Classification.- Dynamical Models and Time Series.- Neuroscience.- Cortical Models.- Line Attractors and Neural Fields.- Spiking and Single Cell Models.- Applications.- Users and Social Technologies.- Demonstrations.

Su questa edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2014
• ISBN 10: 3319111787
• ISBN 13: 9783319111780
• Rilegatura: Copertina flessibile
• Numero di pagine: 852
• Redattore: Wermter Stefan, Weber Cornelius, Duch Wlodzislaw, Honkela Timo, Koprinkova-hristova Petia