Online learning algorithm for ensemble of decision rules
dc.contributor.author | Chikalov, Igor | |
dc.contributor.author | Moshkov, Mikhail | |
dc.contributor.author | Zielosko, Beata | |
dc.date.accessioned | 2015-08-04T06:24:11Z | |
dc.date.available | 2015-08-04T06:24:11Z | |
dc.date.issued | 2011 | |
dc.identifier.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 | |
dc.identifier.isbn | 9783642218804 | |
dc.identifier.issn | 03029743 | |
dc.identifier.doi | 10.1007/978-3-642-21881-1_48 | |
dc.identifier.uri | http://hdl.handle.net/10754/564339 | |
dc.description.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. | |
dc.publisher | Springer Nature | |
dc.subject | decision rules | |
dc.subject | dynamic programming | |
dc.subject | greedy algorithm | |
dc.subject | online learning | |
dc.title | Online learning algorithm for ensemble of decision rules | |
dc.type | Conference Paper | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.contributor.department | Applied Mathematics and Computational Science Program | |
dc.contributor.department | Extensions of Dynamic Programming, Machine Learning and Discrete Optimization Research Group | |
dc.identifier.journal | Rough Sets, Fuzzy Sets, Data Mining and Granular Computing | |
dc.conference.date | 25 June 2011 through 27 June 2011 | |
dc.conference.name | 13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011 | |
dc.conference.location | Moscow | |
kaust.person | Chikalov, Igor | |
kaust.person | Moshkov, Mikhail | |
kaust.person | Zielosko, Beata |
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Applied Mathematics and Computational Science Program
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Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
For more information visit: https://cemse.kaust.edu.sa/