Using Causal Information and Local Measures to Learn Bayesian Networks

@inproceedings{Lam1993UsingCI,
  title={Using Causal Information and Local Measures to Learn Bayesian Networks},
  author={Wai Lam and Fahiem Bacchus},
  booktitle={UAI},
  year={1993}
}
In previous work we developed a method of learning Bayesian Network models from raw data This method relies on the well known minimal description length MDL principle The MDL principle is particularly well suited to this task as it allows us to tradeo in a principled way the accuracy of the learned network against its practical usefulness In this paper we present some new results that have arisen from our work In particular we present a new local way of computing the description length This… CONTINUE READING
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