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» Bounds on marginal probability distributions
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JMLR
2012
11 years 7 months ago
Max-Margin Min-Entropy Models
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Dan...
CEC
2009
IEEE
13 years 11 months ago
Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins
—Univariate Marginal Distribution Algorithms (UMDAs) are a kind of Estimation of Distribution Algorithms (EDAs) which do not consider the dependencies among the variables. In thi...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
ICANN
2007
Springer
13 years 11 months ago
Theoretical Analysis of Accuracy of Gaussian Belief Propagation
Abstract. Belief propagation (BP) is the calculation method which enables us to obtain the marginal probabilities with a tractable computational cost. BP is known to provide true m...
Yu Nishiyama, Sumio Watanabe
WWW
2009
ACM
14 years 5 months ago
Latent space domain transfer between high dimensional overlapping distributions
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data ar...
Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure...
JAIR
2010
119views more  JAIR 2010»
13 years 3 months ago
Active Tuples-based Scheme for Bounding Posterior Beliefs
The paper presents a scheme for computing lower and upper bounds on the posterior marginals in Bayesian networks with discrete variables. Its power lies in its ability to use any ...
Bozhena Bidyuk, Rina Dechter, Emma Rollon