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@article{Statnikov2013AlgorithmsFD, title={Algorithms for discovery of multiple Markov boundaries}, author={Alexander R. Statnikov and Jan Lemeire and Constantin F. Aliferis}, journal={Journal of machine learning research : JMLR}, year={2013}, volume={14}, pages={ 499-566 } }

- Published in Journal of Machine Learning Research 2013

Algorithms for Markov boundary discovery from data constitute an important recent development in machine learning, primarily because they offer a principled solution to the variable/feature selection problem and give insight on local causal structure. Over the last decade many sound algorithms have been proposed to identify a single Markov boundary of the response variable. Even though faithful distributions and, more broadly, distributions that satisfy the intersection property always have a… CONTINUE READING

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