research
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03/29/2021
Structure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood
Markov networks are popular models for discrete multivariate systems whe...
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01/31/2014
Marginal and simultaneous predictive classification using stratified graphical models
An inductive probabilistic classification rule must generally obey the p...
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01/20/2014
Marginal Pseudo-Likelihood Learning of Markov Network structures
Undirected graphical models known as Markov networks are popular for a w...
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10/04/2013
Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models
We introduce a novel class of labeled directed acyclic graph (LDAG) mode...
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09/25/2013
