A Boosting Approach to Constructing an Ensemble Stack

Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood

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

1 Citation (Scopus)
Original languageEnglish
Title of host publicationGenetic Programming - 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Proceedings
EditorsGisele Pappa, Mario Giacobini, Zdenek Vasicek
PublisherSpringer Science and Business Media Deutschland GmbH
Pages133-148
Number of pages16
ISBN (Print)9783031295720
DOIs
Publication statusPublished - 2023
Event6th European Conference on Genetic Programming, EuroGP 2023 held as part of EvoStar 2023 - Brno, Czech Republic
Duration: Apr 12 2023Apr 14 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13986 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th European Conference on Genetic Programming, EuroGP 2023 held as part of EvoStar 2023
Country/TerritoryCzech Republic
CityBrno
Period4/12/234/14/23

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Boosting
  • Genetic Programming
  • Stacking

Fingerprint

Dive into the research topics of 'A Boosting Approach to Constructing an Ensemble Stack'. Together they form a unique fingerprint.

Cite this