iMMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning

Author:

Yasin Amanullah,Leray Philippe

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Alcobé, J.R.: Incremental hill-climbing search applied to bayesian network structure learning. In: First International Workshop on Knowledge Discovery in Data Streams, KDDS (2004)

2. Alcobé, J.R.: Incremental methods for bayesian network structure learning. AI Communications 18(1), 61–62 (2005)

3. Buntine, W.: Theory refinement on bayesian networks. In: Proceedings of the Seventh Conference (1991) on Uncertainty in Artificial Intelligence, pp. 52–60. Morgan Kaufmann Publishers Inc., San Francisco (1991)

4. de Campos, L.M.: A scoring function for learning bayesian networks based on mutual information and conditional independence tests. J. Mach. Learn. Res. 7, 2149–2187 (2006)

5. Castillo, G., Gama, J.a.: Adaptive bayesian network classifiers. Intell. Data Anal. 13, 39–59 (2009)

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