Use for sequence classification and labeling
Hidden Markov models for sequence labeling

The task of sequence classification is often distinguished from the task of sequence segmentation (or labeling). To design a sequence classification system we have a learning base B = {(x ^k , y ^k ), k = 1... K} where y ^k ∊ {U ₁ , U ₂ ,..., U _M } denotes the sequence class.

A sequence classification system based on hidden Markov models is learned by maximizing a criterion. The simplest and most widely used is the maximum likelihood criterion, but other criteria...