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» Preprocessing of Intractable Problems
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NIPS
2007
13 years 9 months ago
Expectation Maximization and Posterior Constraints
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
João Graça, Kuzman Ganchev, Ben Task...
NIPS
2004
13 years 9 months ago
Expectation Consistent Free Energies for Approximate Inference
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
Manfred Opper, Ole Winther
AAMAS
2010
Springer
13 years 7 months ago
Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
VLDB
2007
ACM
95views Database» more  VLDB 2007»
14 years 8 months ago
Matching Twigs in Probabilistic XML
Evaluation of twig queries over probabilistic XML is investigated. Projection is allowed and, in particular, a query may be Boolean. It is shown that for a well-known model of pro...
Benny Kimelfeld, Yehoshua Sagiv
LKR
2008
13 years 9 months ago
Identification of MCMC Samples for Clustering
Abstract. For clustering problems, many studies use just MAP assignments to show clustering results instead of using whole samples from a MCMC sampler. This is because it is not st...
Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato