José L. Alba

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In this paper a method to automatically generate a Gaussian mixture classi"er is presented. The growing process is based on the iterative addition of Gaussian nodes. Each iteration takes place in two sequential steps: "rst, using the EM algorithm, we maximize the likelihood of the data under the current con"guration of the classi"er; then, a new Gaussian(More)
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