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,...
| Hlavní autoři: | , |
|---|---|
| Médium: | Conference item |
| Vydáno: |
Neural Information Processing Systems
2015
|