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

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

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Title: An approach for constructing complex discriminating surfaces based on Bayesian interference of the maximum entropy
Author: El Chakik, Fadi; Shahine, Ahmad; Jaam, Jihad; Hasnah, Ahmad
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.
URI: http://dx.doi.org/10.1016/j.ins.2003.06.011
http://hdl.handle.net/10576/10584
Date: 2003-06-20

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