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» Exponential Propagation for Set Variables
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137
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UAI
2004
15 years 4 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
129
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JAR
2011
112views more  JAR 2011»
14 years 9 months ago
A Framework for Certified Boolean Branch-and-Bound Optimization
We consider optimization problems of the form (S, cost), where S is a clause set over Boolean variables x1 . . . xn, with an arbitrary cost function cost: Bn → R, and the aim is ...
Javier Larrosa, Robert Nieuwenhuis, Albert Olivera...
132
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PLDI
2003
ACM
15 years 7 months ago
Points-to analysis using BDDs
This paper reports on a new approach to solving a subset-based points-to analysis for Java using Binary Decision Diagrams (BDDs). In the model checking community, BDDs have been s...
Marc Berndl, Ondrej Lhoták, Feng Qian, Laur...
114
Voted
AAAI
1990
15 years 3 months ago
The Design of a Marker Passing Architecture for Knowledge Processing
Knowledge processing is very demanding on computer architectures. Knowledge processing generates subcomputation paths at an exponential rate. It is memory intensive and has high c...
Wing Lee, Dan I. Moldovan
110
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4OR
2010
137views more  4OR 2010»
15 years 2 months ago
Extended formulations in combinatorial optimization
This survey is concerned with the size of perfect formulations for combinatorial optimization problems. By "perfect formulation", we mean a system of linear inequalities...
Michele Conforti, Gérard Cornuéjols,...