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FTML
2008
185views more  FTML 2008»
13 years 5 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
TIP
2008
103views more  TIP 2008»
13 years 5 months ago
Change Detection in Multisensor SAR Images Using Bivariate Gamma Distributions
Abstract--This paper studies a family of distributions constructed from multivariate gamma distributions to model the statistical properties of multisensor synthetic aperture radar...
Florent Chatelain, Jean-Yves Tourneret, Jordi Ingl...
IDA
2007
Springer
13 years 11 months ago
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions
Abstract. Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex repres...
Jaakko Hollmén, Jarkko Tikka
EUSFLAT
2003
102views Fuzzy Logic» more  EUSFLAT 2003»
13 years 6 months ago
Transitive comparison of marginal probability distributions
A generalized dice model for the pairwise comparison of non-necessarily independent random variables is established. It is shown how the transitivity of the probabilistic relation...
Hans De Meyer, Bernard De Baets, Bart De Schuymer
ICML
2003
IEEE
14 years 6 months ago
Margin Distribution and Learning
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
Ashutosh Garg, Dan Roth