Online learning algorithm for ensemble of decision rules

Abstract
We describe an online learning algorithm that builds a system of decision rules for a classification problem. Rules are constructed according to the minimum description length principle by a greedy algorithm or using the dynamic programming approach. © 2011 Springer-Verlag.

Citation
Chikalov, I., Moshkov, M., & Zielosko, B. (2011). Online Learning Algorithm for Ensemble of Decision Rules. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 310–313. doi:10.1007/978-3-642-21881-1_48

Publisher
Springer Nature

Journal
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Conference/Event Name
13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011

DOI
10.1007/978-3-642-21881-1_48

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