6715 search results - page 698 / 1343 » Learning from a Test Set |
209
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ECCV
2004
Springer
16 years 9 months ago
2004
Springer
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
207
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
201
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PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
200
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RECSYS
2009
ACM
16 years 1 months ago
2009
ACM
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
216
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SMC
2007
IEEE
16 years 1 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...