Description
Artificial Neural Networks and Machine Learning -- ICANN 2014, 2014
24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings
Theoretical Computer Science and General Issues Series
Coordinators: Wermter Stefan, Weber Cornelius, Duch Wlodzislaw, Honkela Timo, Koprinkova-Hristova Petia, Magg Sven, Palm Günther, Villa Allessandro E.P.
Language: EnglishSubjects for Artificial Neural Networks and Machine Learning -- ICANN...:
Keywords
computational neuroscience; distributed computation; dynamical systems; ensemble methods; evolving systems; machine learning; neural networks; parallel distributed system; particle swarm optimization; reinforcement learning; robust pattern recognition; self-organizing maps; speech recognition; support vector machines; swarm intelligence; turing machines; unsupervised learning; algorithm analysis and problem complexity
852 p. · 15.5x23.5 cm · Paperback
Description
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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.
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.