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
    
     
 
       

Author Related Publications

  • Mohammed Hamza Mahmoud Ibrahim, "A Generic Search Heuristic Based on Survey Propagation to Solve CSPs", AAAI Press, 2012 More
  • Mohammed Hamza Mahmoud Ibrahim, "Log-odd: A New Method for Improving an HMM Decoding for Gene Finding", K. J. of science & engineering, 2012 More
  • 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

Department Related Publications

  • Rodyna Ahmed Mahmoud, "Proximity structures and grill", ijser, 2013 More
  • Heba Ibrahim Mustafa, "On rough approximations via ideal", Elsevier, 2013 More
  • Heba Ibrahim Mustafa, "Soft Generalized Closed Sets with Respect to an Ideal in Soft Topological Spaces", Natural science publishing USA, 2014 More
  • Heba Ibrahim Mustafa, "Hybridizing Rough Sets and Double Sets (An approach for increasing decision accuracy)", Acta Zhengzhou University Overseas, 2013 More
  • Alaa Hassan Attia Hassan, "On subordination results for certain new classes of analytic functions defined by using Salagean operator", Universiteti i Prishtines, Prishtine, Kosove, 2012 More
Tweet