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Support vector machines (SVM) overcome the limit of the maximum-likelihood. method that only applies to very limited set of the density functions. They can estimate simultaneously the regression classes in the mixture data set. The validity of the SVM was demonstrated in experiments. The results indicate that the SVM can estimate the regression classes in the mixture data set with noise.