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Hidden Markov Models

Hidden Markov Models. Fundamentals and applications to bioinformatics. Markov Chains. Given a finite discrete set S of possible states, a Markov chain process occupies one of these states at each unit of time. The process either stays in the same state or moves to some other state in S.

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State sequence desired - PowerPoint PPT Presentation

Hidden Markov Models