Stefan Wermter,
Cornelius Weber,
Wlodzislaw Duch,
Timo Honkela,
Petia Koprinkova-Hristova,
Sven Magg,
Günther Palm,
Allessandro E.P. Villa
e.a.
Springer International Publishing
2014e druk, 2014
9783319111780
Artificial Neural Networks and Machine Learning -- ICANN 2014
24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings
Specificaties
Paperback, 852 blz.
|
Engels
Springer International Publishing |
2014e druk, 2014
ISBN13: 9783319111780
Rubricering
Onderdeel van serie
Lecture Notes in Computer Science
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783319111780
Taal:Engels
Bindwijze:paperback
Aantal pagina's:852
Uitgever:Springer International Publishing
Druk:2014
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Inhoudsopgave
<p>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.</p>