Efficient parameter learning of Bayesian network classifiers-Reference-Cited by-同舟云学术

Efficient parameter learning of Bayesian network classifiers

Published:2017-01-26 Issue:9-10 Volume:106 Page:1289-1329
ISSN:0885-6125
Container-title:Machine Learning
language:en
Short-container-title:Mach Learn

Author:

Zaidi Nayyar A.,Webb Geoffrey I.,Carman Mark J.,Petitjean François,Buntine Wray,Hynes Mike,De Sterck Hans

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s10994-016-5619-z/fulltext.html

Reference32 articles.

1. Buntine, W. (1994). Operations forlearning with graphical models. Journal of Artificial Intelligence Research, 2, 159–225.

2. Byrd, R., Lu, P., & Nocedal, J. (1995). A limited memory algorithm for bound constrained optimization. SIAM Journal on Scientific and Statistical Computing, 16(5), 1190–1208.

3. Carvalho, A., Roos, T., Oliveira, A., & Myllymaki, P. (2011). Discriminative learning of Bayesian networks via factorized conditional log-likelihood. Journal of Machine Learning Research.

4. Chow, C., & Liu, C. (1968). Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14(3), 462–467.

5. Demšar, J. (2006). Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research, 7, 1–30.

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