Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique

@inproceedings{Suzuki1996LearningBB,
  title={Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique},
  author={Joe Suzuki},
  booktitle={ICML},
  year={1996}
}
ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks, [BUN96] Wray Buntime, A guide to the literature on learning probabilistic network from data, IEEE Transactions on Knowledge and Data Engineering, vol. 8, no. 2, April 1996 page(s) : 195-210 
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