827 search results - page 130 / 166 » Variational methods for Reinforcement Learning |
112
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
92
Voted
BMCBI
2006
15 years 17 days ago
2006
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
129
Voted
TSP
2008
14 years 11 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
115
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
117
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NECO
2007
15 years 17 hour ago
2007
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...