%0 Journal Article
	%A Refaat M Mohamed and  Ayman El-Baz and  Aly A. Farag
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 2, 2007
	%T Probability Density Estimation Using Advanced Support Vector Machines and the Expectation Maximization Algorithm
	%U https://publications.waset.org/pdf/12134
	%V 2
	%X This paper presents a new approach for the prob-ability density function estimation using the Support Vector Ma-chines (SVM) and the Expectation Maximization (EM) algorithms.In the proposed approach, an advanced algorithm for the SVM den-sity estimation which incorporates the Mean Field theory in the learning process is used. Instead of using ad-hoc values for the para-meters of the kernel function which is used by the SVM algorithm,the proposed approach uses the EM algorithm for an automatic optimization of the kernel. Experimental evaluation using simulated data set shows encouraging results.

	%P 441 - 444