Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes
Author:
Funder
Australian Research Council
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s10994-018-5718-0/fulltext.html
Reference41 articles.
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3. Breiman, L. (2001). Random forests. Machine Learning, 45, 5–32.
4. Buntine, W. (1996). A guide to the literature on learning probabilistic networks from data. IEEE Transactions on Knowledge and Data Engineering, 8(2), 195–210.
5. Buntine, W., & Mishra, S. (2014). Experiments with non-parametric topic models. In 20th ACM SIGKDD international conference on knowledge discovery and data Mining, ACM, New York, NY, USA, KDD ’14 (pp. 881–890).
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