Limitations and Future Trends in Neural Computation (NATO Science Series: Computer & Systems Sciences) - Hardcover

Ablameyko, Sergey; NATO ADVANCED RESEARCH WORKSHOP ON LIMIT

 
9781586033248: Limitations and Future Trends in Neural Computation (NATO Science Series: Computer & Systems Sciences)
Hardcover
ISBN 10: 1586033247 ISBN 13: 9781586033248
Verlag: IOS Press, 2003

Inhaltsangabe

This work reports critical analyses on complexity issues in the continuum setting and on generalization to new examples, which are two basic milestones in learning from examples in connectionist models. The problem of loading the weights of neural networks, which is often framed as continuous optimization, has been the target of many criticisms, since the potential solution of any learning problem is limited by the presence of local minimal in the error function. The notion of efficient solution needs to be formalized so as to provide useful comparisons with the traditional theory of computational complexity in the discrete setting. It also covers up-to-date developments in computational mathematics.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

This book reports critical analyses on complexity issues in the continuum setting and on generalization to new examples, which are two basic milestones in learning from examples in connectionist models. The problem of loading the weights of neural networks, which is often framed as continuous optimization, has been the target of many criticisms, since the potential solution of any learning problem is severely limited by the presence of local minimal in the error function. The maturity of the field requires to convert the quest for a general solution to all learning problems into the understanding of which learning problems are likely to be solved efficiently. Likewise, the notion of efficient solution needs to be formalized so as to provide useful comparisons with the traditional theory of computational complexity in the discrete setting. The book covers these topics focussing also on recent developments in computational mathematics, where interesting notions of computational complexity emerge in the continuum setting.

Aus dem Klappentext

This book reports critical analyses on complexity issues in the continuum setting and on generalization to new examples, which are two basic milestones in learning from examples in connectionist models. The problem of loading the weights of neural networks, which is often framed as continuous optimization, has been the target of many criticisms, since the potential solution of any learning problem is severely limited by the presence of local minimal in the error function. The maturity of the field requires to convert the quest for a general solution to all learning problems into the understanding of which learning problems are likely to be solved efficiently. Likewise, the notion of efficient solution needs to be formalized so as to provide useful comparisons with the traditional theory of computational complexity in the discrete setting. The book covers these topics focussing also on recent developments in computational mathematics, where interesting notions of computational complexity emerge in the continuum setting.

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Verlag
IOS Press
Erscheinungsdatum
2003
Sprache
Englisch
ISBN 10 
1586033247
ISBN 13 
9781586033248
Einband
Gebundene Ausgabe
Anzahl der Seiten
254
Herausgeber
Gori Marco, Goras Liviu, Piuri Vincenzo
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar