A Markov model is a probabilistic process over a finite set, {S 1 , ..., S k } , usually called its states. Each state-transition generates a character from the alphabet of the process. We are interested in matters such as the probability of a given state coming up next, pr(x t =S i to t-1 . In computing, such processes, if they are reasonably complex and interesting,
Read full article from Hidden Markov Models
No comments:
Post a Comment