8970 search results - page 46 / 1794 » Learning to Learn Causal Models |
125
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ILP
2007
Springer
15 years 7 months ago
2007
Springer
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
KES
2007
Springer
15 years 7 months ago
2007
Springer
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
389
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
131
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AAAI
2007
15 years 3 months ago
2007
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
69
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE