Collapsed variational inference for computational linguistics
<p>Bayesian modelling is a natural fit for tasks in computational linguistics, since it can provide interpretable structures, useful prior controls, and coherent management of uncertainty. However, exact Bayesian inference is intractable for many models of practical interest. Developing bot...
Autor principal: | Wang, P |
---|---|
Outros Autores: | Blunsom, P |
Formato: | Tese |
Publicado em: |
2016
|
Registros relacionados
-
Collapsed Variational Bayesian Inference for PCFGs
por: Wang, P, et al.
Publicado em: (2013) -
Collapsed variational inference for HDP
por: Teh, Y, et al.
Publicado em: (2009) -
Stochastic collapsed variational inference for sequential data
por: Wang, P, et al.
Publicado em: (2015) -
Collapsed Variational Bayesian Inference for Hidden Markov Models
por: Wang, P, et al.
Publicado em: (2013) -
Stochastic collapsed variational inference for hidden Markov models
por: Wang, P, et al.
Publicado em: (2015)