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» Hybrid Probabilistic Programs
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128
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UAI
1997
15 years 2 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
BMCBI
2007
134views more  BMCBI 2007»
15 years 24 days ago
Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign
Background: Joint alignment and secondary structure prediction of two RNA sequences can significantly improve the accuracy of the structural predictions. Methods addressing this p...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
143
Voted
JMLR
2012
13 years 3 months ago
Message-Passing Algorithms for MAP Estimation Using DC Programming
We address the problem of finding the most likely assignment or MAP estimation in a Markov random field. We analyze the linear programming formulation of MAP through the lens of...
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
84
Voted
PPAM
2007
Springer
15 years 6 months ago
A Container-Iterator Parallel Programming Model
There are several parallel programming models available for numerical computations at different levels of expressibility and ease of use. For the development of new domain speci...
Gerhard W. Zumbusch
96
Voted
CPAIOR
2004
Springer
15 years 6 months ago
Stabilization Issues for Constraint Programming Based Column Generation
Abstract. Constraint programming based column generation is a hybrid optimization framework recently proposed that uses constraint programming (CP) to solve column generation subpr...
Louis-Martin Rousseau