Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionApplied Mathematics and Computational Science Program
Extensions of Dynamic Programming, Machine Learning and Discrete Optimization Research Group
Date
2011Permanent link to this record
http://hdl.handle.net/10754/564339
Metadata
Show full item recordAbstract
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_48Publisher
Springer NatureConference/Event name
13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011ISBN
9783642218804ae974a485f413a2113503eed53cd6c53
10.1007/978-3-642-21881-1_48