Stochastic collapsed variational inference for hidden Markov models

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,...

Полное описание

Библиографические подробности
Главные авторы:	Wang, P, Blunsom, P
Формат:	Conference item
Опубликовано:	Neural Information Processing Systems 2015

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