Systems That Learn : An Introduction to Learning Theory

Royer, James S., Sharma, Arun, Osherson, Daniel, Jain, Sanjay

ISBN 10: 0262100770 ISBN 13: 9780262100779

Editorial: MIT Press, 1999

Idioma: Ingl�s

Condici�n: Usado - Aceptable Encuadernaci�n de tapa dura

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Descripci�n

Ships from the UK. Used book that is in clean, average condition without any missing pages.

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Detalles bibliogr�ficos

T�tulo

Systems That Learn : An Introduction to Learning Theory

Editor

MIT Press

Fecha de publicaci�n

1999

Idioma

Ingl�s

ISBN 10

0262100770

ISBN 13

9780262100779

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

Good

Cat�logos de vendedores

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Sinopsis

Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-function theory to understand how learners come to an accurate view of reality. This revised and expanded edition of a successful text provides a comprehensive, self-contained introduction to the concepts and techniques of the theory. Exercises throughout the text provide experience in the use of computational arguments to prove facts about learning.

Acerca de los autores

Daniel N. Osherson is at MIT.

James Royer is Professor in the Department of Electrical Engineering and Computer Science at Syracuse University.

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Descripci�n de la librer�a

Better World Books is the world?s leading socially conscious online bookseller and has sold over 100 million books. Each sale generates funds for global literacy. We offer low prices, fast shipping, and have a 100% money back guarantee.

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