Online learning algorithm for ensemble of decision rules

Igor Chikalov, Mikhail Moshkov, Beata Zielosko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

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.
Original languageEnglish (US)
Title of host publicationRough Sets, Fuzzy Sets, Data Mining and Granular Computing
PublisherSpringer Nature
Pages310-313
Number of pages4
ISBN (Print)9783642218804
DOIs
StatePublished - 2011

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Online learning algorithm for ensemble of decision rules'. Together they form a unique fingerprint.

Cite this