8970 search results - page 195 / 1794 » Learning to Learn Causal Models |
163
Voted
UM
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. Since problem solving in group problem-based learning is a collaborative process, modeling individuals and the group is necessary if we wish to develop an intelligent tut...
140
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IROS
2008
IEEE
15 years 11 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
177
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CVPR
2007
IEEE
16 years 7 months ago
2007
IEEE
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
165
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ECCV
2006
Springer
16 years 6 months ago
2006
Springer
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
131
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...