Improving Probabilistic Inference in Graphical Models with Determinism and Cycles

Faculty Science Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Machine Learning Journal springer Volume:
Keywords : Improving Probabilistic Inference , Graphical Models with    
Abstract:
Many important real-world applications of machine learning, statistical physics, constraint programming and information theory can be formulated using graphical models that involve determinism and cycles. Accurate and efficient inference an
   
     
 
       

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