In machine learning, the Markov blanket for a node in a Bayesian network is the set of nodes composed of 's parents, its children, and its children'sâ€¦Â (More)

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2017

2017

In a Bayesian network (BN), a target node is independent of all other nodes given its Markov blanket (MB), and finding the MB hasâ€¦Â (More)

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2012

2012

- Adam Craig Pocock, Mikel LujÃ¡n, Gavin Brown
- AISTATS
- 2012

We present a novel interpretation of information theoretic feature selection as optimization of a discriminative model. We showâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos
- Journal of Machine Learning Research
- 2010

We present an algorithmic framework for learning local causal structure around target variables of interest in the form of directâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos
- Journal of Machine Learning Research
- 2010

In part I of this work we introduced and evaluated the Generalized Local Learning (GLL) framework for producing local causal andâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- Jean-Philippe Pellet, AndrÃ© Elisseeff
- Journal of Machine Learning Research
- 2008

We show how a generic feature-selection algorithm returning strongly relevant variables can be turned into a causal structureâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash
- Pattern Recognition
- 2007

Microarray technologies enable quantitative simultaneous monitoring of expression levels for thousands of genes under variousâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- Sandeep Yaramakala, Dimitris Margaritis
- Fifth IEEE International Conference on Dataâ€¦
- 2005

In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner Markov blanketâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
- FLAIRS Conference
- 2003

This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. Theâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

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We introduce a novel, sound, sample-efficient, and highly-scalable algorithm for variable selection for classificationâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

Data Mining with Bayesian Network learning has two important characteristics: under conditions learned edges between variablesâ€¦Â (More)

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