3837 search results - page 99 / 768 » Learning Approximate Consistencies |
128
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
166
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CVPR
2011
IEEE
15 years 12 days ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
168
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SAC
2005
ACM
15 years 9 months ago
2005
ACM
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
133
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ECTEL
2007
Springer
15 years 10 months ago
2007
Springer
: Current learning modelling languages do not allow formalization of scripts where generic tools are required. This limitation is especially relevant on remote courses when using c...
134
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UAI
1996
15 years 5 months ago
1996
We discuss Bayesian methods for learning Bayesian networks when data sets are incomplete. In particular, we examine asymptotic approximations for the marginal likelihood of incomp...