We propose an algorithm for combining decomposable graphical models and apply it for building decomposable graphical log-linear models which involve a large number of variables. A main idea in this algorithm is that we group the random variables that are involved in the data into several subsets of variables, build graphical log-linear models for the marginal data, and then combine the marginal...

The von Mises distribution is a continuous probability distribution on the circle used in directional statistics. In this paper, we introduce the undirected von Mises Graphical model and present an algorithm for structure learning using L1 regularization. We show that the learning algorithm is both consistent and efficient. We also introduce a simple inference algorithm based on Gibbs sampling....

The von Mises distribution is a continuous probability distribution on the circle used in directional statistics. In this paper, we introduce the undirected von Mises Graphical model and present an algorithm for parameter and structure learning using L1 regularization. We show that the learning algorithm is both consistent and statistically efficient. Additionally, we introduce a simple inferen...

This paper discusses an algorithm for identifying semantic arguments of a verb, word senses of a polysemous word, noun phrases in a sentence. The heart of the algorithm is a probabilistic graphical model. In contrast with other existed graphical models, such as Naive Bayes models, CRFs, HMMs, and MEMMs, this model determines a sequence of optimal class assignments among M choices for a sequence...

The von Mises distribution is a continuous probability distribution on the circle used in directional statistics. In this paper, we introduce the undirected von Mises Graphical model and present an algorithm for parameter and structure learning using L1 regularization. We show that the learning algorithm is both consistent and statistically efficient. Additionally, we introduce a simple inferen...

Blood Levels on the Appearance of HIV Viral Load Blips Aaron Farmer, DO; Thomas O’bryan, MD; Anuradha Ganesan, MD; Robert Deiss, MD; Brian Agan, MD; Kevin S. Akers, MD; Jason Okulicz, MD; Infectious Disease Service, San Antonio Military Medical Center, Fort Sam Houston, TX; Infectious Disease Clinical Research Program, Uniformed Services University, Bethesda, MD; Infectious Disease Clinical Res...

The von Mises distribution is a continuous probability distribution on the circle used in directional statistics. In this paper, we introduce the undirected von Mises Graphical model and present an algorithm for structure learning using L1 regularization. We show that the learning algorithm is both consistent and efficient. We also introduce a simple inference algorithm based on Gibbs sampling....

Graphical games introduce a compact representation, where agents’ outcomes depend only on their neighbors. A distributed search algorithm for pure Nash equilibria of graphical games is presented. The algorithm uses the analogy of graphical games with asymmetric distributed constraints optimization problems (ADCOPs). The proposed algorithm includes three components an admissible pruning heuristi...