A Novel Algorithm for Scalable and Accurate Bayesian Network Learning

  title={A Novel Algorithm for Scalable and Accurate Bayesian Network Learning},
  author={Laura E. Brown and Ioannis Tsamardinos and Constantin F. Aliferis},
  journal={Studies in health technology and informatics},
  volume={107 Pt 1},
Bayesian Networks (BN) is a knowledge representation formalism that has been proven to be valuable in biomedicine for constructing decision support systems and for generating causal hypotheses from data. Given the emergence of datasets in medicine and biology with thousands of variables and that current algorithms do not scale more than a few hundred variables in practical domains, new efficient and accurate algorithms are needed to learn high quality BNs from data. We present a new algorithm… CONTINUE READING


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Publications referenced by this paper.
Showing 1-10 of 14 references

MUNIN - An Expert EMG Assistant

S Andreassen, FV Jensen, +3 authors M Woldbye
Desmedt JE, editor. Computer-Aided Electromyography and Expert Systems; • 1989
View 7 Excerpts
Highly Influenced

Causation, Prediction, and Search

P Spirtes, C Glymour, R. Scheines
Second ed • 2000
View 5 Excerpts
Highly Influenced

Probabilistic Networks and Expert Systems

Information Science and Statistics • 1999
View 5 Excerpts
Highly Influenced

A comparison of classification algorithms to automatically identify chest X-ray reports that support pneumonia

WW Chapman, M Fizman, BE Chapman, PJ. Haug
Journal of Biomedical Informatics • 2001
View 1 Excerpt

Modern Information Retrieval: Addison-Wesley Pub Co

R Baeze-Yates, B. Ribiero-Neto
View 1 Excerpt

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