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Support Vector Machines represent a new approach to pattern classification developed from the theory of Structural Risk Minimization[1]. In this paper, we present an investigation into the application of Support Vector Machines’ to the confidence measurement problem in speech recognition. Specifically, based on the results from an initial decoding of an(More)
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