Improving Probabilistic Inference in Graphical Models with Determinism and Cycles

Faculty Science Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Mohammed Hamza Mahmoud Ibrahim
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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  • Mohammed Hamza Mahmoud Ibrahim, "A Generic Search Heuristic Based on Survey Propagation to Solve CSPs", AAAI Press, 2012 More
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  • Mohammed Hamza Mahmoud Ibrahim, "Improving the Performance of an HMM for Protein Family Modeling", Science Alert, 2007 More
  • Mohammed Hamza Mahmoud Ibrahim, "Exploiting Determinism to Scale Relational Inference", AAAI Press, 2015 More

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  • Mohammed Hamza Mahmoud Ibrahim, "Log-odd: A New Method for Improving an HMM Decoding for Gene Finding", K. J. of science & engineering, 2012 More
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