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Principles and Practice of Constraint Programming – CP 2011
Algorithm Selection and Scheduling
other
Author(s):
Serdar Kadioglu
,
Yuri Malitsky
,
Ashish Sabharwal
,
Horst Samulowitz
,
Meinolf Sellmann
Publication date
(Print):
2011
Publisher:
Springer Berlin Heidelberg
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Computer Vision, Deep Learning, Deep Reinforcement Learning, IoT
Most cited references
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A Linear Programming Approach to the Cutting-Stock Problem
R. E. Gomory
,
P. Gilmore
(1961)
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The Algorithm Selection Problem
John R. Rice
(1976)
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Cross-disciplinary perspectives on meta-learning for algorithm selection
Kate Smith-Miles
(2008)
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Author and book information
Book Chapter
Publication date (Print):
2011
Pages
: 454-469
DOI:
10.1007/978-3-642-23786-7_35
SO-VID:
c400e21e-5f4a-4adb-b9ba-2dbb2ed2b92c
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Book chapters
pp. 12
A Constraint Seeker: Finding and Ranking Global Constraints from Examples
pp. 27
Bin Repacking Scheduling in Virtualized Datacenters
pp. 385
Grid-Based SAT Solving with Iterative Partitioning and Clause Learning
pp. 225
Solving MAXSAT by Solving a Sequence of Simpler SAT Instances
pp. 414
On Deciding MUS Membership with QBF
pp. 454
Algorithm Selection and Scheduling
pp. 508
Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling
pp. 621
Boolean Equi-propagation for Optimized SAT Encoding
pp. 645
Kangaroo: An Efficient Constraint-Based Local Search System Using Lazy Propagation
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