81 search results - page 13 / 17 » Graphical Models, Exponential Families, and Variational Infe... |
86
Voted
AAAI
2011
13 years 9 months ago
2011
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...
129
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IDA
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
108
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NIPS
2008
14 years 11 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
100
Voted
UAI
2008
14 years 11 months ago
2008
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...