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IJCAI
1993
15 years 2 months ago
The Statistical Learning of Accurate Heuristics
Heuristics used by search algorithms are usually composed of more primitive functions which we call "features". A method for combining features is presented which is bas...
Anna Bramanti-Gregor, Henry W. Davis
86
Voted
IJCAI
1989
15 years 1 months ago
A Probabilistic Approach to Marker Propagation
Potentially, the advantages of marker-passing over local connectionist techniques for associa­ tive inference are (1) the ability to differen­ tiate variable bindings, and (2) r...
Dekai Wu
AMC
2008
106views more  AMC 2008»
15 years 28 days ago
A non-binary constraint ordering heuristic for constraint satisfaction problems
Abstract Nowadays many real problems can be modelled as Constraint Satisfaction Problems (CSPs). A search algorithm for constraint programming requires an order in which variables ...
Miguel A. Salido
CONSTRAINTS
2006
120views more  CONSTRAINTS 2006»
15 years 25 days ago
Constraint Models for the Covering Test Problem
Covering arrays can be applied to the testing of software, hardware and advanced materials, and to the effects of hormone interaction on gene expression. In this paper we develop c...
Brahim Hnich, Steven David Prestwich, Evgeny Selen...
93
Voted
CONSTRAINTS
2007
93views more  CONSTRAINTS 2007»
15 years 23 days ago
Arc-B-consistency of the Inter-distance Constraint
We study the “inter-distance constraint”, also known as the global minimum distance constraint, that ensures that the distance between any pair of variables is at least equal ...
Konstantin Artiouchine, Philippe Baptiste