Learning Bayesian Networks with Local Structure
- 1 January 1998
- book chapter
- Published by Springer Nature
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This publication has 10 references indexed in Scilit:
- Elements of Information TheoryPublished by Wiley ,2001
- LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLEComputational Intelligence, 1994
- A Generalization of the Noisy-Or ModelPublished by Elsevier ,1993
- Parameter adjustment in Bayes networks. The generalized noisy OR–gatePublished by Elsevier ,1993
- Coding Decision TreesMachine Learning, 1993
- Connectionist learning of belief networksArtificial Intelligence, 1992
- Sequential updating of conditional probabilities on directed graphical structuresNetworks, 1990
- Inferring decision trees using the minimum description lenght principleInformation and Computation, 1989
- Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropyIEEE Transactions on Information Theory, 1980
- Estimating the Dimension of a ModelThe Annals of Statistics, 1978