The minimum description length based decision tree pruning-Reference-Cited by-同舟云学术

The minimum description length based decision tree pruning

Published:1998 Issue: Volume: Page:228-237
ISSN:0302-9743
Container-title:PRICAI’98: Topics in Artificial Intelligence
language:
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Author:

Kononenko Igor

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/BFb0095272

Reference20 articles.

1. I. Bratko, I. Kononenko. Learning diagnostic rules from incomplete and noisy data. In: B. Phelps (ed.) Interactions in Artificial Intelligence and Statistical Methods, Technical Press.

2. L. Breiman, J.H. Friedman, R.A. Olshen, and C.J. Stone. Clasification and Regression Trees. Wadsworth International Group, 1984.

3. B. Cestnik. Estimating probabilities: A crucial task in machine learning. Proc. European Conference on Artificial Intelligences ECAI-90, Stochkholm, August 1990, pp. 147–149.

4. B. Cestnik and I. Bratko. On estimating probabilities in tree pruning. Proc. European Working Session on Learning, (Porto, March 1991), Y. Kodratoff (ed.), Springer Verlag. pp. 138–150.

5. B. Cestnik, I. Kononenko, and I. Bratko. ASSISTANT 86: A knowledge elicitation tool for sophisticated users. In: I. Bratko and N. Lavrac (eds.), Progress in Machine Learning. Wilmslow, England: Sigma Press.

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