vitruvianAnalogy/HMMDirichlet

Hidden Markov Models is a statistical model which is one of the more popular model used for sequential and temporal data. It can estimate the parameters and can efficiently do the inference while handling real world applications. Hierarchical Dirichlet Process is a Bayesian approach to the modeling of grouped data. Each group is related to a mixture model analogous with Dirichlet process mixture models and defines a nonparametric prior. We are trying to study Hidden Markov Models using prior information that is generated by a Hierarchical Dirichlet Process.

语言：Matlab · GitHub 星标：4 · Fork：2

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