219 search results - page 6 / 44 » Using Markov Blankets for Causal Structure Learning |
105
Voted
NIPS
2008
15 years 4 months ago
2008
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
160
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UAI
2003
15 years 4 months ago
2003
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
449
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CVPR
2012
IEEE
13 years 5 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...
169
Voted
AAAI
2011
14 years 3 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
152
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KDD
2009
ACM
16 years 4 months ago
2009
ACM
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...