The characterization of classification problems by classifier disagreements

Elzbieta Pekalska, Robert P W Duin, Elzbieta Pȩkalska, David M J Tax

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

    Abstract

    In this paper we try to characterize a set of classification problems. For this, we use the disagreement between a set of standard classifiers. The disagreement patterns do not only point towards different types of classification problems, but also indicate the novelty and the usefulness of a classifier with respect to a set of classification problems and classifiers. Some experiments show when known classification problems become unknown after changing their feature size or their training set size.
    Original languageEnglish
    Title of host publicationProceedings - International Conference on Pattern Recognition|Proc. Int. Conf. Pattern Recognit.
    EditorsJ. Kittler, M. Petrou, M. Nixon
    Pages140-143
    Number of pages3
    Volume1
    Publication statusPublished - 2004
    EventProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge
    Duration: 1 Jul 2004 → …

    Conference

    ConferenceProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
    CityCambridge
    Period1/07/04 → …

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