Exploiting Determinism to Scale Relational Inference

Faculty Science Year: 2015
Type of Publication: ZU Hosted Pages:
Authors:
Mohammed Hamza Mahmoud Ibrahim
Journal: AAAI Conference on Artificial Intelligence AAAI Press Volume:
Keywords : Exploiting Determinism , Scale Relational Inference    
Abstract:
One key challenge in statistical relational learning (SRL) is scalable inference. Unfortunately, most realworld problems in SRL have expressive models that translate into large grounded networks, representing a bottleneck for any inference
   
     
 
       

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, "Improving Probabilistic Inference in Graphical Models with Determinism and Cycles", springer, 2016 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

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  • Mohamed El Sayed Ahmed Muhamed, "a novel algorithm for source localization based on nonnegative matrix factroization using \alpha 'beta divergence in chochleagram", WSEAS, 2013 More
  • Rodyna Ahmed Mahmoud, "Some methods for generating proximities by relations", .ijser, 2013 More
  • Heba Ibrahim Mustafa, "Soft proximity", World's Pioneer Iceland, 2013 More
  • Heba Ibrahim Mustafa, "On Interval-Valued Supra-Fuzzy Syntopogenous Structure", Hindawi Publishing Corporation, 2012 More
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