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Exploiting Determinism to Scale Relational Inference
Faculty
Science
Year:
2015
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohammed Hamza Mahmoud Ibrahim
Staff Zu Site
Abstract In Staff Site
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
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Mohammed Hamza Mahmoud Ibrahim, "Improving Probabilistic Inference in Graphical Models with Determinism and Cycles", springer, 2016
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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
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Mohammed Hamza Mahmoud Ibrahim, "Improving the Performance of an HMM for Protein Family Modeling", Science Alert, 2007
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Metwally AlAwadi Elsayed AlAwadi, "Sarmanov Family of Bivariate Distributions: Statistical Properties—Concomitants of Order Statistics—Information Measures", ٍSpringer, 2022
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Alaa Hassan Attia Hassan, "Subclass of Multivalent β-Uniformly Functions with Varying Arguments", Hindawi Publishing Corporation, USA, 2013
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Ahmed Mohamed Khedr Souliman, "Minimum connected cover of a query region in heterogeneous wireless sensor networks", Information Sciences, 2013
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Marwa Osman Mohamed Othman, "Estimation of reliability function based on the upper record values for generalized gamma Lindley stress–strength model: Case study COVID-19", Science-Gate, 2022
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Alaa Hassan Attia Hassan, "Hadamard Product Properties for Certain Subclasses of p-Valent Meromorphic Functions", MDPI, 2022
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