Stochastic collapsed variational inference for hidden Markov models

Stochastic variational inference for collapsed models has recently been successfully applied to large scale topic modelling. In this paper, we propose a stochastic collapsed variational inference algorithm for hidden Markov models, in a sequential data setting. Given a collapsed hidden Markov Model,...

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מידע ביבליוגרפי
Main Authors: Wang, P, Blunsom, P
פורמט: Conference item
יצא לאור: Neural Information Processing Systems 2015

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