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» Topologically-constrained latent variable models
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AROBOTS
2011
14 years 11 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
151
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ACL
2011
14 years 7 months ago
Semi-supervised latent variable models for sentence-level sentiment analysis
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Oscar Täckström, Ryan T. McDonald
JMLR
2010
96views more  JMLR 2010»
14 years 11 months ago
Posterior Regularization for Structured Latent Variable Models
Kuzman Ganchev, João Graça, Jennifer...
103
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SIGDIAL
2011
177views Education» more  SIGDIAL 2011»
14 years 7 months ago
A Comparison of Latent Variable Models For Conversation Analysis
Sourish Chaudhuri, Bhiksha Raj