Class | Description |
---|---|
ForwardBackwardProcedure |
The forward-backward procedure is an inference algorithm for hidden Markov
models which computes the posterior marginals of all hidden state variables
given a sequence of observations.
|
HiddenMarkovModel | |
HmmInnovation |
An HMM innovation consists of a state and an observation in the state.
|
HMMRNG |
In a (discrete) hidden Markov model, the state is not directly visible, but
output, dependent on the state, is visible.
|
Viterbi |
The Viterbi algorithm is a dynamic programming algorithm for finding the most
likely sequence of hidden states - called the Viterbi path - that results in
a sequence of observed events, especially in the context of Markov
information sources and hidden Markov models.
|
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