Stochastic complexity of variational Bayesian hidden Markov models

Variational Bayesian learning was proposed as the approximation method of Bayesian learning. Inspite of efficiency and experimental good performance, their mathematical property has not yet been clarified. In this paper we analyze variational Bayesian hidden Markov models which include the true one...

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Bibliographische Detailangaben

Hauptverfasser:	Hosino, T., Watanabe, K., Watanabe, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Approximation methods Bayesian methods Competitive intelligence Computational intelligence Hidden Markov models Natural language processing Speech recognition Stochastic processes
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