Enhanced confidence interpretations of GP based ensemble modeling results

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

4 Citations (Scopus)

Abstract

In this paper we describe the integration of ensemble modeling into genetic programming based classification and discuss concepts how to use genetic programming specific features for achieving new confidence indicators that estimate the trustworthiness of predictions. These new concepts are tested on a real world dataset from the field of medical diagnosis for cancer prediction where the trustworthiness of modeling results is of highest importance.

Original languageEnglish
Title of host publication24th European Modeling and Simulation Symposium, EMSS 2012
Pages340-345
Number of pages6
Publication statusPublished - 2012
Event24th European Modeling and Simulation Symposium, EMSS 2012 - Vienna, Austria
Duration: 19 Sep 201221 Sep 2012

Publication series

Name24th European Modeling and Simulation Symposium, EMSS 2012

Conference

Conference24th European Modeling and Simulation Symposium, EMSS 2012
CountryAustria
CityVienna
Period19.09.201221.09.2012

Keywords

  • Data mining
  • Ensemble modeling
  • Genetic programming
  • Medical data analysis

Fingerprint Dive into the research topics of 'Enhanced confidence interpretations of GP based ensemble modeling results'. Together they form a unique fingerprint.

Cite this