| dc.contributor.author |
El Chakik, Fadi |
|
| dc.contributor.author |
Shahine, Ahmad |
|
| dc.contributor.author |
Jaam, Jihad |
|
| dc.contributor.author |
Hasnah, Ahmad |
|
| dc.date.accessioned |
2009-12-30T07:52:26Z |
|
| dc.date.available |
2009-12-30T07:52:26Z |
|
| dc.date.issued |
2003-06-20 |
|
| dc.identifier.citation |
Volume 163, Issue 4, 18 June 2004, Pages 275-291 |
en_US |
| dc.identifier.uri |
http://dx.doi.org/10.1016/j.ins.2003.06.011 |
|
| dc.identifier.uri |
http://hdl.handle.net/10576/10584 |
|
| dc.description.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. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.subject |
Maximum entropy |
en_US |
| dc.subject |
Classification |
en_US |
| dc.subject |
Probability estimation |
en_US |
| dc.subject |
Neural networks |
en_US |
| dc.subject |
Hebbian learning |
en_US |
| dc.title |
An approach for constructing complex discriminating surfaces based on Bayesian interference of the maximum entropy |
en_US |
| dc.type |
Article |
en_US |