Model level combination of tree ensemble hyperboxes via GFMM

Mark Eastwood, B. Gabrys

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)
Original languageEnglish
Title of host publicationFuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
EditorsY. Ding, Y. Li, Z. Fan, S. Li, L. Wang
PublisherIEEE
Pages443-447
Volume4
ISBN (Print)9781612841809
DOIs
Publication statusPublished - 2011

Bibliographical note

The full text is not available from the repository. Please note Mark Eastwood was working at Bournemouth University at the time of publication. Paper presented at the Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011, and published in the proceedings.
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

  • data resampling
  • decision tree
  • disjoint set
  • general fuzzy min-max framework
  • individual decision vector
  • model level combination
  • robust GFMM model
  • soft label
  • tree ensemble hyperbox

Cite this

Eastwood, M., & Gabrys, B. (2011). Model level combination of tree ensemble hyperboxes via GFMM. In Y. Ding, Y. Li, Z. Fan, S. Li, & L. Wang (Eds.), Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on (Vol. 4, pp. 443-447). IEEE. https://doi.org/10.1109/FSKD.2011.6019563