1531 search results - page 102 / 307 » Learning probabilistic models of the Web |
163
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MLG
2007
Springer
16 years 16 days ago
2007
Springer
: Network topology not only tells about tightly-connected “communities,” but also gives cues on more subtle properties of the vertices. We introduce a simple probabilistic late...
176
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
180
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ECIR
2010
Springer
15 years 6 months ago
2010
Springer
Web search engines are composed of a large set of search nodes and a broker machine that feeds them with queries. A location cache keeps minimal information in the broker to regist...
181
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NIPS
2004
15 years 7 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...
162
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IROS
2008
IEEE
16 years 24 days 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...