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» Identifying Conditional Causal Effects
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JMLR
2010
134views more  JMLR 2010»
13 years 1 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
AIED
2007
Springer
13 years 10 months ago
'Tis Better to Construct than to Receive? The Effects of Diagram Tools on Causal Reasoning
Previous research on the use of diagrams for argumentation instruction has highlighted, but not conclusively demonstrated, their potential benefits. We examine the relative benefit...
Matthew W. Easterday, Vincent Aleven, Richard Sche...
UAI
1994
13 years 7 months ago
A Probabilistic Calculus of Actions
Wepresenta symbolicmachinerythatadmits bothprobabilisticand causalinformation abouta givendomainand producesprobabilisticstatementsabouttheeffectofactions andtheimpactof observati...
Judea Pearl
JMLR
2010
157views more  JMLR 2010»
13 years 1 months ago
Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control
A complex modern manufacturing process is normally under consistent surveillance via the monitoring of signals/variables collected from sensors. However, not all of these signals ...
Michael McCann, Yuhua Li, Liam P. Maguire, Adrian ...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
13 years 10 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...