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Active Learning Algorithm Using the Discrimination Function of the Base Classifiers

  • Robert BurdukEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 525)

Abstract

The goal of the Active Learning algorithm is to reduce the number of labeled examples needed for learning. In this paper we propose the new AL algorithm based on the analysis of decision profiles. The decision profiles are obtained from the outputs of the base classifiers that form an ensemble of classifiers. The usefulness of the proposed algorithm is experimentally evaluated on several data sets.

Keywords

Active Learning Query by Committee Multiple classifier system 

Notes

Acknowledgments

This work was supported by the Polish National Science Center under the grant no. DEC-2013/09/B/ST6/02264.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Systems and Computer NetworksWroclaw University of TechnologyWroclawPoland

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