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dc.contributor.authorChikalov, Igor
dc.contributor.authorMoshkov, Mikhail
dc.contributor.authorZielosko, Beata
dc.date.accessioned2015-08-04T06:24:11Z
dc.date.available2015-08-04T06:24:11Z
dc.date.issued2011
dc.identifier.citationChikalov, 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.isbn9783642218804
dc.identifier.issn03029743
dc.identifier.doi10.1007/978-3-642-21881-1_48
dc.identifier.urihttp://hdl.handle.net/10754/564339
dc.description.abstractWe 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.publisherSpringer Nature
dc.subjectdecision rules
dc.subjectdynamic programming
dc.subjectgreedy algorithm
dc.subjectonline learning
dc.titleOnline learning algorithm for ensemble of decision rules
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentExtensions of Dynamic Programming, Machine Learning and Discrete Optimization Research Group
dc.identifier.journalRough Sets, Fuzzy Sets, Data Mining and Granular Computing
dc.conference.date25 June 2011 through 27 June 2011
dc.conference.name13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011
dc.conference.locationMoscow
kaust.personChikalov, Igor
kaust.personMoshkov, Mikhail
kaust.personZielosko, Beata


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