Lecture Notes in Computer Science - Principles and Practice of Constraint Programming
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Published By Springer International Publishing

9783319232188, 9783319232195

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Exploiting GPUs in Solving (Distributed) Constraint Optimization Problems with Dynamic Programming

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_9 ◽

2015 ◽

pp. 121-139 ◽

Cited By ~ 4

Author(s):

Ferdinando Fioretto ◽

Tiep Le ◽

Enrico Pontelli ◽

William Yeoh ◽

Tran Cao Son

Keyword(s):

Dynamic Programming ◽

Optimization Problems ◽

Constraint Optimization ◽

Distributed Constraint Optimization ◽

Constraint Optimization Problems

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PREFIX-PROJECTION Global Constraint for Sequential Pattern Mining

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_17 ◽

2015 ◽

pp. 226-243 ◽

Cited By ~ 8

Author(s):

Amina Kemmar ◽

Samir Loudni ◽

Yahia Lebbah ◽

Patrice Boizumault ◽

Thierry Charnois

Keyword(s):

Pattern Mining ◽

Sequential Pattern Mining ◽

Sequential Pattern ◽

Global Constraint

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Erratum to: Modeling Universal Instruction Selection

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_49 ◽

2015 ◽

pp. E1-E3

Author(s):

Gabriel Hjort Blindell ◽

Roberto Castañeda Lozano ◽

Mats Carlsson ◽

Christian Schulte

Keyword(s):

Instruction Selection

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Machine Learning of Bayesian Networks Using Constraint Programming

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_31 ◽

2015 ◽

pp. 429-445 ◽

Cited By ~ 13

Author(s):

Peter van Beek ◽

Hella-Franziska Hoffmann

Keyword(s):

Machine Learning ◽

Bayesian Networks ◽

Constraint Programming

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A Microstructure-Based Family of Tractable Classes for CSPs

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_6 ◽

2015 ◽

pp. 74-88 ◽

Cited By ~ 5

Author(s):

Martin C. Cooper ◽

Philippe Jégou ◽

Cyril Terrioux

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Hybridization of Interval CP and Evolutionary Algorithms for Optimizing Difficult Problems

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_32 ◽

2015 ◽

pp. 446-462 ◽

Cited By ~ 1

Author(s):

Charlie Vanaret ◽

Jean-Baptiste Gotteland ◽

Nicolas Durand ◽

Jean-Marc Alliot

Keyword(s):

Evolutionary Algorithms

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Improved Constraint Propagation via Lagrangian Decomposition

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_3 ◽

2015 ◽

pp. 30-38 ◽

Cited By ~ 4

Author(s):

David Bergman ◽

Andre A. Cire ◽

Willem-Jan van Hoeve

Keyword(s):

Constraint Propagation ◽

Lagrangian Decomposition

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Constrained Minimum Sum of Squares Clustering by Constraint Programming

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_39 ◽

2015 ◽

pp. 557-573 ◽

Cited By ~ 2

Author(s):

Thi-Bich-Hanh Dao ◽

Khanh-Chuong Duong ◽

Christel Vrain

Keyword(s):

Constraint Programming ◽

Sum Of Squares

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Strengthening Convex Relaxations with Bound Tightening for Power Network Optimization

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_4 ◽

2015 ◽

pp. 39-57 ◽

Cited By ~ 16

Author(s):

Carleton Coffrin ◽

Hassan L. Hijazi ◽

Pascal Van Hentenryck

Keyword(s):

Network Optimization ◽

Convex Relaxations ◽

Power Network ◽

Bound Tightening

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Anytime Hybrid Best-First Search with Tree Decomposition for Weighted CSP

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming ◽

10.1007/978-3-319-23219-5_2 ◽

2015 ◽

pp. 12-29 ◽

Cited By ~ 8

Author(s):

David Allouche ◽

Simon de Givry ◽

George Katsirelos ◽

Thomas Schiex ◽

Matthias Zytnicki

Keyword(s):

Tree Decomposition ◽

Best First Search ◽

Weighted Csp

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Lecture Notes in Computer Science - Principles and Practice of Constraint ProgrammingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Exploiting GPUs in Solving (Distributed) Constraint Optimization Problems with Dynamic Programming

PREFIX-PROJECTION Global Constraint for Sequential Pattern Mining

Erratum to: Modeling Universal Instruction Selection

Machine Learning of Bayesian Networks Using Constraint Programming

A Microstructure-Based Family of Tractable Classes for CSPs

Hybridization of Interval CP and Evolutionary Algorithms for Optimizing Difficult Problems

Improved Constraint Propagation via Lagrangian Decomposition

Constrained Minimum Sum of Squares Clustering by Constraint Programming

Strengthening Convex Relaxations with Bound Tightening for Power Network Optimization

Anytime Hybrid Best-First Search with Tree Decomposition for Weighted CSP

Lecture Notes in Computer Science - Principles and Practice of Constraint Programming
Latest Publications