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113
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SARA
2009
Springer
15 years 5 months ago
Light Algorithms for Maintaining Max-RPC During Search
Abstract. This article presents two new algorithms whose purpose is to maintain the Max-RPC domain filtering consistency during search with a minimal memory footprint and implemen...
Julien Vion, Romuald Debruyne
ANOR
2004
116views more  ANOR 2004»
15 years 17 days ago
Approximations and Randomization to Boost CSP Techniques
Abstract. In recent years we have seen an increasing interest in combining constraint satisfaction problem (CSP) formulations and linear programming (LP) based techniques for solvi...
Carla P. Gomes, David B. Shmoys
JAL
2008
97views more  JAL 2008»
15 years 21 days ago
Experimental studies of variable selection strategies based on constraint weights
An important class of heuristics for constraint satisfaction problems works by sampling information during search in order to inform subsequent decisions. One of these strategies, ...
Richard J. Wallace, Diarmuid Grimes
GECCO
2000
Springer
225views Optimization» more  GECCO 2000»
15 years 4 months ago
Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search Algorithm
A genetic local search (GLS) algorithm, which is a combination technique of genetic algorithm and local search, for the unconstrained binary quadratic programming problem (BQP) is...
Kengo Katayama, Masafumi Tani, Hiroyuki Narihisa
182
Voted
ICIP
2010
IEEE
14 years 10 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao