Cambridge, MA: The MIT Press, 1994. Paperback. 584 pp.- As with Volume I, this second volume represents a synthesis of issues in three historically distinct areas of learning research: computational learning theory, neural network research, and symbolic machine learning. While the first volume provided a forum for building a science of computational learning across fields, this volume attempts to define plausible areas of joint research: the contributions are concerned with finding constraints for theory while at the same time interpreting theoretic results in the context of experiments with actual learning systems. Subsequent volumes will focus on areas identified as research opportunities. Computational learning theory, neural networks, and AI machine learning appear to be disparate fields; in fact they have the same goal: to build a machine or program that can learn from its environment. Accordingly, many of the papers in this volume deal with the problem of learning from examples. In particular, they are intended to encourage discussion between those trying to build learning algorithms (for instance, algorithms addressed by learning theoretic analyses are quite different from those used by neural network or machine-learning researchers) and those trying to analyze them. English text. Condition : as new. Condition : as new copy. ISBN 9780262581332. Keywords : ,

N� de ref. del art�culo 250226

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Computational Learning Theory and Natural Learning Systems, Vol. II: Intersections between Theory and Experiment.
Editor: Bradford Books
Fecha de publicaci�n: 1994
Idioma: Ingl�s
ISBN 10: 0262581337
ISBN 13: 9780262581332
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: as new

Acerca de

Sinopsis

As with Volume I, this second volume represents a synthesis of issues in three historically distinct areas of learning research: computational learning theory, neural network research, and symbolic machine learning. While the first volume provided a forum for building a science of computational learning across fields, this volume attempts to define plausible areas of joint research: the contributions are concerned with finding constraints for theory while at the same time interpreting theoretic results in the context of experiments with actual learning systems. Subsequent volumes will focus on areas identified as research opportunities.

Computational learning theory, neural networks, and AI machine learning appear to be disparate fields; in fact they have the same goal: to build a machine or program that can learn from its environment. Accordingly, many of the papers in this volume deal with the problem of learning from examples. In particular, they are intended to encourage discussion between those trying to build learning algorithms (for instance, algorithms addressed by learning theoretic analyses are quite different from those used by neural network or machine-learning researchers) and those trying to analyze them.

The first section provides theoretical explanations for the learning systems addressed, the second section focuses on issues in model selection and inductive bias, the third section presents new learning algorithms, the fourth section explores the dynamics of learning in feedforward neural networks, and the final section focuses on the application of learning algorithms.

A Bradford Book

Acerca de los autores

Stephen Jos� Hanson is Professor of Psychology (Newark Campus) and Member of the Cognitive Science Center (New Brunswick Campus) at Rutgers University.

Michael J. Kearns is Professor of Computer and Information Science at the University of Pennsylvania.

Ronald L. Rivest is Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology.

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

Descripci�n de la librer�a

In business since 1923 we are specialized in law, philosophy and other scholarly books from the 16th - 20th century. We also carry a general stock and we have permanently in stock ca. 60.000 titles. Visit only by appointment. Member of ILAB and the NVVA, the Dutch Antiquarian Booksellers Association.

Ver la p�gina web de la librer�a

Miembro de asociaci�n

Los miembros de estas asociaciones est�n comprometidos a mantener los est�ndares m�s altos. Ellos garantizan la autenticidad de los art�culos que ofrecen a la venta. Tienen descripciones expertas y detalladas, se�alan los defectos significativos y/o restauraciones, muestran los precios exactos y llevan a cabo un servicio de imparcialidad y honestidad durante la experiencia de la compra.

Informaci�n empresarial del vendedor

Kloof Booksellers & Scientia Verlag
Netherlands

Condiciones de venta y env�o

Condiciones de venta

Condition of the books is VG or better, unless otherwise stated. Returns allowed within 8 days after reception of the book (after prior notification).
Books are subject to prior sale. Orders usually ship within 2-3 business days. Shipping of books outside the EU, or to commercial and institional addresses is at buyers risk. Airmail & insurance rates on request. No discounts possible on orders through Abebooks. The displayed shipping costs are based on books weighing 2.2 LB, or 1 KG. All disputes...

M�s informaci�n

Condiciones de env�o

Orders usually ship within 2-3 business days. Shipping of books outside the EU, or to commercial and institional addresses is at buyers risk. Airmail & insurance rates on request. The displayed shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.