An approach for constructing complex discriminating surfaces based on Bayesian interference of the maximum entropy
Author | El Chakik, Fadi |
Author | Shahine, Ahmad |
Author | Jaam, Jihad |
Author | Hasnah, Ahmad |
Available date | 2009-12-30T07:52:26Z |
Publication Date | 2003-06-20 |
Publication Name | Information Sciences |
Identifier | http://dx.doi.org/10.1016/j.ins.2003.06.011 |
Citation | Fadi El Chakik, Ahmad Shahine, Jihad Jaam, Ahmad Hasnah, An approach for constructing complex discriminating surfaces based on Bayesian interference of the maximum entropy, Information Sciences, Volume 163, Issue 4, 18 June 2004, Pages 275-291 |
Abstract | In this paper we present a comprehensive Maximum Entropy (MaxEnt) procedure for the classification tasks. This MaxEnt is applied successfully to the problem of estimating the probability distribution function (pdf) of a class with a specific pattern, which is viewed as a probabilistic model handling the classification task. We propose an efficient algorithm allowing to construct a non-linear discriminating surfaces using the MaxEnt procedure. The experiments that we carried out shows the performance and the various advantages of our approach. |
Language | en |
Publisher | Elsevier Inc. |
Subject | Maximum entropy Classification Probability estimation Neural networks Hebbian learning |
Type | Article |
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Computer Science & Engineering [2284 items ]