311 search results - page 12 / 63 » Learning first-order probabilistic models with combining rul... |
110
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ICML
2009
IEEE
16 years 14 days ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
114
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ICCV
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
ICPR
2004
IEEE
16 years 23 days ago
2004
IEEE
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...
NIPS
2001
15 years 1 months ago
2001
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
97
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COGSCI
2010
14 years 11 months ago
2010
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...