Corpus ID: 1930258

Algorithms for Large Scale Markov Blanket Discovery

@inproceedings{Tsamardinos2003AlgorithmsFL,
  title={Algorithms for Large Scale Markov Blanket Discovery},
  author={I. Tsamardinos and C. Aliferis and A. Statnikov},
  booktitle={FLAIRS Conference},
  year={2003}
}
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. [...] Key Method We introduce a low-order polynomial algorithm and several variants that soundly induce the Markov Blanket under certain broad conditions in datasets with thousands of variables and compare them to other state-of-the-art local and global methods with excellent results.Expand
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References

SHOWING 1-10 OF 10 REFERENCES
Bayesian Network Induction via Local Neighborhoods
  • 298
  • Highly Influential
  • PDF
Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory
  • 190
Toward Optimal Feature Selection
  • 1,680
  • PDF
Strong completeness and faithfulness in Bayesian networks
  • 232
  • PDF
Probabilistic reasoning in expert systems - theory and algorithms
  • 684
Constructing Bayesian Network Models of Gene Expression Networks from Microarray Data
  • 132
  • Highly Influential
  • PDF
Hailfinder: A Bayesian system for forecasting severe weather
  • 196
Basic principles of ROC analysis.
  • C. Metz
  • Medicine
  • Seminars in nuclear medicine
  • 1978
  • 5,010
  • PDF
Towards Principled Feature Selection: Relevancy, Filters and Wrappers
  • 257
  • PDF