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» Random Constraint Satisfaction: A More Accurate Picture
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ICML
2007
IEEE
15 years 10 months ago
What is decreased by the max-sum arc consistency algorithm?
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...
Tomás Werner
ATAL
2006
Springer
15 years 1 months ago
Examining DCSP coordination tradeoffs
Distributed Constraint Satisfaction Problems (DCSPs) provide a model to capture a broad range of cooperative multiagent problem solving settings. Researchers have generally propos...
Michael Benisch, Norman M. Sadeh
TCC
2009
Springer
169views Cryptology» more  TCC 2009»
15 years 10 months ago
Goldreich's One-Way Function Candidate and Myopic Backtracking Algorithms
Abstract. Goldreich (ECCC 2000) proposed a candidate one-way function construction which is parameterized by the choice of a small predicate (over d = O(1) variables) and of a bipa...
James Cook, Omid Etesami, Rachel Miller, Luca Trev...
UAI
1997
14 years 11 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
AAAI
1996
14 years 11 months ago
Lazy Arc Consistency
Arc consistency filtering is widely used in the framework of binary constraint satisfaction problems: with a low complexity, inconsistency may be detected,and domains are filtered...
Thomas Schiex, Jean-Charles Régin, Christin...