Neural Network Learning Paperback: Theoretical Foundations - Tapa blanda

Anthony, Martin

9780521118620: Neural Network Learning Paperback: Theoretical Foundations

Tapa blanda

ISBN 10: 052111862X ISBN 13: 9780521118620

Editorial: Cambridge University Press, 2009

Ver todas las copias de esta edici�n del ISBN

5 Usado

De EUR 43,12

13 Nuevo

De EUR 64,17

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.

"Sinopsis" puede pertenecer a otra edici�n de este libro.

Cr�ticas

'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

Product Description

Book by Anthony Martin Bartlett Peter L

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

EditorialCambridge University Press
A�o de publicaci�n2009
ISBN 10 052111862X
ISBN 13 9780521118620
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas404

Comprar usado

Condici�n: Aceptable

Ships SAME or NEXT business day...

Ver este art�culo

EUR 43,12

Convertir moneda

EUR 3,57 gastos de env�o en Estados Unidos de America

Destinos, gastos y plazos de env�o

A�adir al carrito

Comprar nuevo

Ver este art�culo

EUR 64,17

Convertir moneda

EUR 3,57 gastos de env�o en Estados Unidos de America

Destinos, gastos y plazos de env�o

A�adir al carrito

Otras ediciones populares con el mismo t�tulo

9780521573535: Neural Network Learning Hardback: Theoretical Foundations

Edici�n Destacada

ISBN 10: 052157353X ISBN 13: 9780521573535
Editorial: Cambridge University Press, 1999
Tapa dura

Resultados de la b�squeda para Neural Network Learning Paperback: Theoretical Foundations

Imagen de archivo

Neural Network Learning Theoretical Foundations

Anthony, Martin

Publicado por Cambridge University Press, 2009

ISBN 10: 052111862X ISBN 13: 9780521118620

Antiguo o usado Tapa blanda

Librería: TextbookRush, Grandview Heights, OH, Estados Unidos de America

Calificaci�n del vendedor: 4 de 5 estrellas

Condici�n: 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. N� de ref. del art�culo: 52284459

Contactar al vendedor

Comprar usado

EUR 43,12

Convertir moneda

Gastos de env�o: EUR 3,57

A Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen de archivo

Neural Network Learning : Theoretical Foundations

Bartlett, Peter L., Anthony, Martin

Publicado por Cambridge University Press, 2009

ISBN 10: 052111862X ISBN 13: 9780521118620

Antiguo o usado Tapa blanda

Librería: Better World Books: West, Reno, NV, Estados Unidos de America

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: 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. N� de ref. del art�culo: 12356663-75

Contactar al vendedor

Comprar usado

EUR 50,49

Convertir moneda

Gastos de env�o: GRATIS

A Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen de archivo

Neural Network Learning: Theoretical Foundations

Anthony, Martin; Bartlett, Peter L.

Publicado por Cambridge University Press, 2009

ISBN 10: 052111862X ISBN 13: 9780521118620

Nuevo Tapa blanda

Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: New. N� de ref. del art�culo: ABLIING23Feb2215580243894

Contactar al vendedor

Comprar nuevo

EUR 64,17

Convertir moneda

Gastos de env�o: EUR 3,57

A Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: M�s de 20 disponibles

A�adir al carrito

Imagen del vendedor

Neural Network Learning : Theoretical Foundations

Anthony, Martin; Bartlett, Peter L.

Publicado por Cambridge University Press, 2009

ISBN 10: 052111862X ISBN 13: 9780521118620

Nuevo Tapa blanda

Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: New. N� de ref. del art�culo: 6952043-n

Contactar al vendedor

Comprar nuevo

EUR 65,41

Convertir moneda

Gastos de env�o: EUR 2,36

A Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: M�s de 20 disponibles

A�adir al carrito

Imagen de archivo

Neural Network Learning: Theoretical Foundations

Anthony, Martin/ Bartlett, Peter L.

Publicado por Cambridge Univ Pr, 2009

ISBN 10: 052111862X ISBN 13: 9780521118620

Nuevo Paperback

Impresi�n bajo demanda

Librería: Revaluation Books, Exeter, Reino Unido

Calificaci�n del vendedor: 5 de 5 estrellas

Paperback. Condici�n: Brand New. 1st edition. 403 pages. 8.75x5.75x0.75 inches. In Stock. This item is printed on demand. N� de ref. del art�culo: __052111862X

Contactar al vendedor

Comprar nuevo

EUR 63,18

Convertir moneda

Gastos de env�o: EUR 11,89

De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen de archivo

Neural Network Learning (Paperback)

Martin Anthony

Publicado por Cambridge University Press, Cambridge, 2009

ISBN 10: 052111862X ISBN 13: 9780521118620

Nuevo Paperback

Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America

Calificaci�n del vendedor: 5 de 5 estrellas

Paperback. Condici�n: 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 multiple locations in the US or from the UK, depending on stock availability. N� de ref. del art�culo: 9780521118620

Contactar al vendedor