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Lecture 9: Hidden Markov Models

Lecture 9: Hidden Markov Models

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Hidden Markov Models (HMMs) Hidden Markov Models (HMMs) are used for situations in which: { The data consists of a sequence of observations { The observations depend (probabilistically) on the internal state of a dynamical system { The true state of the system is unknown (i.e., it is a hidden or latent variable) There are numerous applications ...

  Model, Talent, Variable, Latent variable

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