A simulated data example is provided showing superior performance over the conventional HMM.doi:10.1109/ICASSP.2000.859060P.M. BaggenstossIEEE Computer SocietyInternational Conference on Acoustics, Speech, and Signal ProcessingBaggenstoss Paul M.A modified Baum-Welch algorithm for hidden Markov models with...
Parameters of the model are redefined through the Baum Welch algorithm and the maximum probability state transition sequence is further calculated by using the Viterbi algorithm. Based on these processes, the intention of attackers has been finally inferred. According to the experimental results, the ...
4. The method of training a class-specific HMM of claim 1 wherein said step of estimating parameters of said class-specific HMM further includes the step of conducting a plurality of iterations of said Baum-Welch algorithm, wherein each iteration of said Baum-Welch algorithm includes a class-...