Instance-Specific Algorithm Configuration

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....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Malitsky, Yuri (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Malitsky, Yuri.  |e author. 
245 1 0 |a Instance-Specific Algorithm Configuration  |h [electronic resource] /  |c by Yuri Malitsky. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a IX, 134 p. 13 illus., 11 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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505 0 |a 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 |a 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. 
650 0 |a Computer science. 
650 0 |a Artificial intelligence. 
650 0 |a Mathematical optimization. 
650 0 |a Combinatorics. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Optimization. 
650 2 4 |a Combinatorics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319112299 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-11230-5  |z Full Text via HEAL-Link 
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950 |a Computer Science (Springer-11645)