337 pp., Paperback, ex library, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Detalles bibliogr�ficos

T�tulo: Algorithmic Learning Theory: 7th International Workshop, ALT '96, Sydney, Australia, October 23 - 25, 1996. Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence 1160)
Editor: Springer
Fecha de publicaci�n: 1996
Idioma: Ingl�s
ISBN 10: 3540618635
ISBN 13: 9783540618638
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: Good

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Sinopsis

This book constitutes the refereed proceedings of the 7th International Workshop on Algorithmic Learning Theory, ALT ’96, held in Sydney, Australia, in October 1996.
The 16 revised full papers presented were selected from 41 submissions; also included are eight short papers as well as four full length invited contributions by Ross Quinlan, Takeshi Shinohara, Leslie Valiant, and Paul Vitanyi, and an introduction by the volume editors. The book covers all areas related to algorithmic learning theory, ranging from theoretical foundations of machine learning to applications in several areas.

Rese�a del editor

This book constitutes the refereed proceedings of the 7th International Workshop on Algorithmic Learning Theory, ALT '96, held in Sydney, Australia, in October 1996.
The 16 revised full papers presented were selected from 41 submissions; also included are eight short papers as well as four full length invited contributions by Ross Quinlan, Takeshi Shinohara, Leslie Valiant, and Paul Vitanyi, and an introduction by the volume editors. The book covers all areas related to algorithmic learning theory, ranging from theoretical foundations of machine learning to applications in several areas.

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