Regression Rule Learning for Methane Forecasting in Coal Mines-Reference-Cited by-同舟云学术

Regression Rule Learning for Methane Forecasting in Coal Mines

Published:2015 Issue: Volume: Page:495-504
ISSN:1865-0929
Container-title:Beyond Databases, Architectures and Structures
language:
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Author:

Kozielski Michał,Skowron Adam,Wróbel Łukasz,Sikora Marek

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-18422-7_44

Reference14 articles.

1. Amin, T., Chikalov, I., Moshkov, M., Zielosko, B.: Classifiers based on optimal decision rules. Fundam. Inform. 127(1-4), 151–160 (2013)

2. Gold, R.: Tests auxiliary to χ2 tests in a Markov chain. Annals of Mathematical Statistics, 56–74 (1963)

3. Holmes, G., Hall, M., Prank, E.: Generating rule sets from model trees. Springer (1999)

4. Hothorn, T., Hornik, K., Zeileis, A.: Unbiased recursive partitioning: A conditional inference framework. Journal of Computational and Graphical Statistics 15(3), 651–674 (2006)

5. Janssen, F., Fürnkranz, J.: Heuristic rule-based regression via dynamic reduction to classification. In: IJCAI Proceedings-International Joint Conference on Artificial Intelligence, vol. 22, p. 1330 (2011)

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