528 search results - page 1 / 106 » Causal inference using the algorithmic Markov condition |
CORR
2008
Springer
13 years 9 months ago
2008
Springer
ESANN
2007
13 years 10 months ago
2007
Abstract. We propose a new algorithm for estimating the causal structure that underlies the observed dependence among n (n ≥ 4) binary variables X1, . . . , Xn. Our inference pri...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
JMLR
2008
13 years 9 months ago
2008
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
FLAIRS
2003
13 years 10 months ago
2003
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...