A hidden Markov model (HMM, 은닉 마르코프 모델) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states. (https://en.wikipedia.org/wiki/Hidden_Markov_model)

관련정보

- http://biohackers.net/wiki/HiddenMarkovModel
- Introduction to Hidden Markov Models with Python Networkx and Sklearn : NetworkX과 scikit-learn을 이용한 예제

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