Calculates the cross-entropy between the selected HMM model and the HMMObservationSequence.
The cross-entropy is a useful upper bound for the entropy of a model. An approximation to the cross-entropy for a model on a observation sequence O of length N is:
|H(O) = -1/N log p(O),|
where p(O) is the probability of the observation sequence given the model.
© djmw, October 17, 2010