Identification, Adaptation, Learning - The Science of Learning Models from Data (Hardcover, 1996 ed.)

This book collects the lectures given at the NATO Advanced Study Institute From Identijication to Learning held in Villa Olmo, Como, Italy, from August 22 to September 2, 1994. The school was devoted to the themes of Identijication, Adaptation and Learning, as they are currently understood in the Information and Contral engineering community, their development in the last few decades, their inter connections and their applications. These titles describe challenging, exciting and rapidly growing research areas which are of interest both to contral and communication engineers and to statisticians and computer scientists. In accordance with the general goals of the Institute, and notwithstanding the rat her advanced level of the topics discussed, the presentations have been generally kept at a fairly tutorial level. For this reason this book should be valuable to a variety of rearchers and to graduate students interested in the general area of Control, Signals and Information Pracessing. As the goal of the school was to explore a common methodologicalline of reading the issues, the flavor is quite interdisciplinary. We regard this as an original and valuable feature of this book."

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	NATO ASI Subseries F:, 153
Release date:	July 1996
First published:	1996
Editors:	Sergio Bittanti • Giorgio Picci
Dimensions:	235 x 155 x 36mm (L x W x T)
Format:	Hardcover
Pages:	552
Edition:	1996 ed.
ISBN-13:	978-3-540-61080-9
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Computing & IT > Computer software packages > Computer graphics software > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	3-540-61080-4
Barcode:	9783540610809

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