Computational Models of Learning (Paperback, Softcover reprint of the original 1st ed. 1987)

In recent years, machine learning has emerged as a significant area of research in artificial intelligence and cognitive science. At present, research in the field is being intensified from both the point of view of theory and of implementation, and the results are being introduced in practice. Machine learning has recently become the subject of interest of many young and talented scientists whose bold ideas have greatly contributed to the broadening of knowledge in this rapidly developing field of science. This situation has manifested itself in an increasing number of valuable contributions to scientific journals. However, such papers are necessarily compact descriptions of research problems. "Computational Models of Learning" supplements these contributions and is a collection of more extensive essays. These essays provide the reader with an increased knowledge of carefully selected problems of machine learning.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Artificial Intelligence
Release date:	December 2011
First published:	1987
Editors:	Leonard Bolc
Contributors:	G L Bradshaw • P. Langley • R.S. Michalski • S. Ohlsson • L.A. Rendell • H.A Simon • J.G. Wolff
Dimensions:	244 x 170 x 12mm (L x W x T)
Format:	Paperback
Pages:	208
Edition:	Softcover reprint of the original 1st ed. 1987
ISBN-13:	978-3-642-82744-0
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-82744-6
Barcode:	9783642827440

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