Diagnostic tools for evaluating HMM components
نویسندگان
چکیده
Although there are known algorithms for predicting observation and state sequences from HMM models there is little discussion on how to determine the contributions of the different types of HMM parameters to such predictions and consequently, temporal pattern recognition. In this note we discuss and compare a number of objective measures that provide insight into HMM performance in these terms.
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