HMM

... In process of being edited by Dana Movshovitz-Attias ...

Hidden Markov Models (HMMs) are statistical models that are used for representing stochastic Markov processes with hidden states.

The output of the model is observable and dependent on the hidden states. The process is governed by transition probabilities which determine the probability of moving between states, and emission probabilities which determine the output of each state.

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