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AAAI
2000
13 years 6 months ago
Using Auxiliary Variables and Implied Constraints to Model Non-Binary Problems
We perform an extensive theoretical and empirical analysis of the use of auxiliary variables and implied constraints in modelling a class of non-binary constraint satisfaction pro...
Barbara M. Smith, Kostas Stergiou, Toby Walsh
AAAI
2006
13 years 6 months ago
Weighted Constraint Satisfaction with Set Variables
Set variables are ubiquitous in modeling (soft) constraint problems, but efforts on practical consistency algorithms for Weighted Constraint Satisfaction Problems (WCSPs) have onl...
J. H. M. Lee, C. F. K. Siu
MOR
2002
102views more  MOR 2002»
13 years 4 months ago
Facets of the Complementarity Knapsack Polytope
We present a polyhedral study of the complementarity knapsack problem. Traditionally, complementarity constraints are modeled by introducing auxiliary binary variables and additio...
Ismael R. de Farias Jr., Ellis L. Johnson, George ...
AAAI
2008
13 years 7 months ago
Resource Constrained Distributed Constraint Optimization with Virtual Variables
Cooperative problem solving with resource constraints are important in practical multi-agent systems. Resource constraints are necessary to handle practical problems including dis...
Toshihiro Matsui, Hiroshi Matsuo, Marius Silaghi, ...
JMLR
2010
145views more  JMLR 2010»
12 years 12 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever