A Novel Algorithm for Scalable and Accurate Bayesian Network Learning

@article{Brown2004ANA,
  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},
  year={2004},
  volume={107 Pt 1},
  pages={711-5}
}
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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