Instance-Specific Algorithm Configuration (Hardcover, 2014 ed.)

This book presents a modular and expandable technique in the rapidly emerging research area of automatic configuration and selection of the best algorithm for the instance at hand. The author presents the basic model behind ISAC and then details a number of modifications and practical applications. In particular, he addresses automated feature generation, offline algorithm configuration for portfolio generation, algorithm selection, adaptive solvers, online tuning, and parallelization. The author's related thesis was honorably mentioned (runner-up) for the ACP Dissertation Award in 2014, and this book includes some expanded sections and notes on recent developments. Additionally, the techniques described in this book have been successfully applied to a number of solvers competing in the SAT and MaxSAT International Competitions, winning a total of 18 gold medals between 2011 and 2014. The book will be of interest to researchers and practitioners in artificial intelligence, in particular in the area of machine learning and constraint programming.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	December 2014
First published:	2014
Authors:	Yuri Malitsky
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Hardcover
Pages:	134
Edition:	2014 ed.
ISBN-13:	978-3-319-11229-9
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	3-319-11229-5
Barcode:	9783319112299

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