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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| Format: | Conference item |
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Neural Information Processing Systems
2015
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