An approach for constructing complex discriminating surfaces based on Bayesian interference of the maximum entropy

DOI10.1016/J.INS.2003.06.011zbMath1076.68059OpenAlexW2046857474MaRDI QIDQ1827331

Ahmad Shahine, Fadi El Chakik, Ahmad M. Hasnah, Jihad Mohamad Jaam

Publication date: 6 August 2004

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2003.06.011

zbMATH Keywords

ClassificationNeural networksHebbian learningMaximum entropyProbability estimation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

UNCERTAINTY MEASURE OF ROUGH SETS BASED ON A KNOWLEDGE GRANULATION FOR INCOMPLETE INFORMATION SYSTEMS ⋮ Negentropy as a function of cumulants ⋮ Information entropy, rough entropy and knowledge granulation in incomplete information systems

Cites Work

• Papers on probability, statistics and statistical physics. Ed. by R. D. Rosenkrantz.
• Regularization networks and support vector machines
• Theoretical foundations of the potential function method in pattern recognition learning
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
• Linear inversion by the method of maximum entropy
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