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...
Hoofdauteur: | Wang, P |
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Andere auteurs: | Blunsom, P |
Formaat: | Thesis |
Gepubliceerd in: |
2016
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Gelijkaardige items
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Collapsed Variational Bayesian Inference for PCFGs
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Collapsed variational inference for HDP
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Stochastic collapsed variational inference for sequential data
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Collapsed Variational Bayesian Inference for Hidden Markov Models
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Stochastic collapsed variational inference for hidden Markov models
door: Wang, P, et al.
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