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» Two Algorithms for Inducing Causal Models from Data
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NIPS
1994
13 years 9 months ago
Factorial Learning and the EM Algorithm
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
Zoubin Ghahramani
DAGSTUHL
2006
13 years 9 months ago
Closure and Causality
We present a model of causality which is defined by the intersection of two distinct closure systems, I and T . To present empirical evidence to demonstrate that this model has pra...
John L. Pfaltz
AAAI
2011
12 years 8 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
VLDB
1998
ACM
147views Database» more  VLDB 1998»
14 years 19 days 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...
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin