5. Use for sequence classification and labeling
5.1 Use for sequence classification
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...
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Use for sequence classification and labeling
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