Articoli correlati a Neural Network Learning: Theoretical Foundations
Sinossi
This book describes theoretical advances in the study of artificial neural networks.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Recensione
'The book is a useful and readable mongraph. For beginners it is a nice introduction to the subject, for experts a valuable reference.' Zentralblatt MATH
Descrizione del libro
This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. It is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 61,69
EUR 11,61 per la spedizione da Regno Unito a Italia
Destinazione, tempi e costi
Risultati della ricerca per Neural Network Learning: Theoretical Foundations
Foto dell'editore
Neural Network Learning : Theoretical Foundations
Editore:
Cambridge University Press, 2009
ISBN 10: 052111862X
ISBN 13: 9780521118620
Antico o usato
Brossura
Da: Better World Books: West, Reno, NV, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Codice articolo 12356663-75
Quantità: 1 disponibili
Foto dell'editore
Neural Network Learning: Theoretical Foundations
Print on DemandDa: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 1st edition. 403 pages. 8.75x5.75x0.75 inches. In Stock. This item is printed on demand. Codice articolo __052111862X
Quantità: 1 disponibili
Foto dell'editore
Neural Network Learning: Theoretical Foundations
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9780521118620_new
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Neural Network Learning : Theoretical Foundations
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 6952043-n
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Neural Network Learning : Theoretical Foundations
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 6952043-n
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Neural Network Learning
Print on DemandDa: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. It is intended to be accessible to research. Codice articolo 446926579
Quantità: Più di 20 disponibili
Foto dell'editore
Neural Network Learning: Theoretical Foundations
Editore:
Cambridge University Press 2009-08-28, 2009
ISBN 10: 052111862X
ISBN 13: 9780521118620
Nuovo
Paperback
Da: Chiron Media, Wallingford, Regno Unito
Valutazione del venditore 4 su 5 stelle
Paperback. Condizione: New. Codice articolo 6666-IUK-9780521118620
Quantità: 10 disponibili
Foto dell'editore
Neural Network Learning: Theoretical Foundations
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 1st edition. 403 pages. 8.75x5.75x0.75 inches. In Stock. Codice articolo x-052111862X
Quantità: 2 disponibili
Foto dell'editore
Neural Network Learning Theoretical Foundations
Editore:
Cambridge University Press, 2009
ISBN 10: 052111862X
ISBN 13: 9780521118620
Antico o usato
Brossura
Da: TextbookRush, Grandview Heights, OH, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Good. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. Codice articolo 52284459
Quantità: 1 disponibili
Foto dell'editore
Neural Network Learning (Paperback)
Editore:
Cambridge University Press, Cambridge, 2009
ISBN 10: 052111862X
ISBN 13: 9780521118620
Nuovo
Paperback
Da: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. Research on pattern classification with binary-output networks is surveyed, including a discussion of the relevance of the Vapnik-Chervonenkis dimension, and calculating estimates of the dimension for several neural network models. A model of classification by real-output networks is developed, and the usefulness of classification with a 'large margin' is demonstrated. The authors explain the role of scale-sensitive versions of the Vapnik-Chervonenkis dimension in large margin classification, and in real prediction. They also discuss the computational complexity of neural network learning, describing a variety of hardness results, and outlining two efficient constructive learning algorithms. The book is self-contained and is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics. This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. It is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521118620
Quantità: 1 disponibili