219 search results - page 31 / 44 » Learning the Dimensionality of Hidden Variables |
114
Voted
NIPS
2007
15 years 1 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
111
Voted
SADM
2010
14 years 6 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
101
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CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper we present a generative, high resolution face representation which extends the well-known active appearance model (AAM)[5, 6, 7] with two additional layers. (i) One ...
122
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JMLR
2006
14 years 11 months ago
2006
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
ICML
2009
IEEE
16 years 14 days ago
2009
IEEE
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...