1531 search results - page 90 / 307 » Learning probabilistic models of the Web |
162
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NN
1997
Springer
15 years 10 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
189
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ESWA
2007
15 years 6 months ago
2007
In this paper it is presented our contribution for carrying out adaptive and intelligent Web-based Education Systems (WBES) that take into account the individual student learning ...
178
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NIPS
1998
15 years 7 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
180
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
168
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ECTEL
2006
Springer
15 years 10 months ago
2006
Springer
iCamp is an EC-funded research project in the area of Technology Enhanced Learning (TEL) that aims to support collaboration and social networking across systems, countries and disc...