8970 search results - page 170 / 1794 » Learning to Learn Causal Models |
137
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CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
126
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AAAI
2007
15 years 6 months ago
2007
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
157
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CSCL
2006
15 years 4 months ago
2006
Future CSCL technologies are described by the community as flexible, tailorable, negotiable, and appropriate for various collaborative settings, conditions and contexts. This paper...
170
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ICCV
2005
IEEE
16 years 6 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...
151
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NIPS
2004
15 years 5 months ago
2004
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...