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Abstract:
A new method for multivariate density estimation is developed
based on the Support Vector Machine (SVM) solution of inverse
ill-posed problems. The solution has the form of a mixture of
densities. This method with Gaussian kernels compared favorably to
both Parzen's method and the Gaussian Mixture Model method.
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