Can we use the m-hmm as the regressor for the speech data for the logistic regression classifier
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With the use of adaptive regressor param- eters, which in this case are the HMM parameters, we obtain a powerful discriminative classifier for speech signals that combines the advantages of the generative learning approach and the discriminative learning approach. We present two families of kernels to be used with KLR.
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It can be used for Classification as well as for Regression problems, but mainly used for Classification problems. Logistic regression is used to predict the categorical dependent variable with the help of independent variables. The output of Logistic Regression problem can be only between the 0 and 1
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