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- W2103255058 abstract "Logistic units in the first hidden layer of a feedforward neural network compute the relative probability of a data point under two Gaussians. This leads us to consider substituting other density models. We present an architecture for performing discriminative learning of Hidden Markov Models using a network of many small HMM's. Experiments on speech data show it to be superior to the Standard method of discriminatively training HMM's." @default.
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- W2103255058 date "2001-01-03" @default.
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- W2103255058 title "Relative Density Nets: A New Way to Combine Backpropagation with HMM's" @default.
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