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» Identifying Linear Causal Effects
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AAAI
2011
12 years 7 months ago
Relational Blocking for Causal Discovery
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Matthew J. Rattigan, Marc E. Maier, David Jensen
ICFP
2009
ACM
14 years 8 months ago
Causal commutative arrows and their optimization
re a popular form of abstract computation. Being more general than monads, they are more broadly applicable, and in parare a good abstraction for signal processing and dataflow co...
Hai Liu, Eric Cheng, Paul Hudak
VLDB
1998
ACM
147views Database» more  VLDB 1998»
13 years 11 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...
BIOCOMP
2008
13 years 9 months ago
Specificity Normalization for Identifying Selective Inhibitors in Virtual Screening
ct The enrichment and recall of known inhibitors in a virtual screen are correlated with the probability of finding effective inhibitors through this process. In practice, a large ...
Reetal Pai, James C. Sacchettini, Thomas R. Ioerge...
ECAI
2010
Springer
13 years 8 months ago
Sound and Complete Landmarks for And/Or Graphs
Landmarks for a planning problem are subgoals that are necessarily made true at some point in the execution of any plan. Since verifying that a fact is a landmark is PSPACE-complet...
Emil Keyder, Silvia Richter, Malte Helmert