316 search results - page 26 / 64 » Expressiveness of graph conditions with variables |
UAI
2003
14 years 11 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
— In this paper, we study the dynamics of a viral spreading process in random geometric graphs (RGG). The spreading of the viral process we consider in this paper is closely rela...
77
Voted
LOPSTR
1999
Springer
15 years 1 months ago
1999
Springer
Abstract. A concept of annotations for rendering procedural aspects of Prolog is presented, built around wellknown procedural concepts of Standard Prolog. Annotations describe prop...
85
Voted
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
106
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JMLR
2010
14 years 4 months ago
2010
We introduce novel results for approximate inference on planar graphical models using the loop calculus framework. The loop calculus (Chertkov and Chernyak, 2006b) allows to expre...