Learning Bayesian network structures under incremental construction curricula

Neurocomputing, pp. 30-40, 2017.

Cited by: 12|Bibtex|Views8|DOI:https://doi.org/10.1016/j.neucom.2017.01.092
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Other Links: dblp.uni-trier.de|academic.microsoft.com|www.sciencedirect.com

Abstract:

Bayesian networks have been successfully applied to various tasks for probabilistic reasoning and causal modeling. One major challenge in the application of Bayesian networks is to learn the Bayesian network structures from data. In this paper, we take advantage of the idea of curriculum learning and learn Bayesian network structures by s...More

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