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Artificial Neural Networks - ICANN 2008 [electronic resource] : 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I / edited by VȨra Kʯrkov, Roman Neruda, Jan Koutnȡk.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 5163 | Lecture Notes in Computer Science ; 5163Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008Descripción: online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783540875369
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 004.0151 23
Clasificación LoC:
  • QA75.5-76.95
Recursos en línea:
Contenidos:
Springer eBooksResumen: This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.
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Mathematical Theory of Neurocomputing -- Learning Algorithms -- Kernel Methods, Statistical Learning, and Ensemble Techniques -- Support Vector Machines -- Reinforcement Learning -- Evolutionary Computing -- Hybrid Systems -- Self-organization -- Control and Robotics -- Signal and Time Series Processing -- Image Processing -- Image Processing Recognition Systems.

This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.

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