Instance-Specific Algorithm Configuration (Record no. 52344)

000 -LEADER
fixed length control field 02920nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-3-319-11230-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220229.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141120s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319112305
-- 978-3-319-11230-5
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Malitsky, Yuri.
245 10 - TITLE STATEMENT
Title Instance-Specific Algorithm Configuration
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 134 p. 13 illus., 11 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Survey of Related Work -- Architecture of Instance-Specific Algorithm Configuration Approach -- Applying ISAC to Portfolio Selection -- Generating a Portfolio of Diverse Solvers -- Handling Features -- Developing Adaptive Solvers -- Making Decisions Online -- Conclusions.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-11230-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical optimization.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Combinatorics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Optimization.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Combinatorics.
912 ## -
-- ZDB-2-SCS

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