Strangeness minimisation feature selection with confidence machines

Tony Bellotti, Zhiyuan Luo, Alex Gammerman

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In this paper, we focus on the problem of feature selection with confidence machines (CM). CM allows us to make predictions within predefined confidence levels, thus providing a controlled and calibrated classification environment. We present a new feature selection method, namely Strangeness Minimisation Feature Selection, designed for CM. We apply this feature selection method to the problem of microarray classification and demonstrate its effectiveness.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings
PublisherSpringer Verlag
Pages978-985
Number of pages8
ISBN (Print)3540454853, 9783540454854
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 - Burgos, Spain
Duration: 20 Sep 200623 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4224 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
Country/TerritorySpain
CityBurgos
Period20/09/0623/09/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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