Active learning for regression based on query by committee

Robert Burbidge, Jem J. Rowland, Ross D. King

    Research output: Chapter in Book/Conference proceedingChapter

    Abstract

    We investigate a committee-based approach for active learning of real-valued functions. This is a variance-only strategy for selection of informative training data. As such it is shown to suffer when the model class is misspecified since the learner's bias is high. Conversely, the strategy outperforms passive selection when the model class is very expressive since active minimization of the variance avoids over fit ting. © Springer-Verlag Berlin Heidelberg 2007.
    Original languageEnglish
    Title of host publicationIntelligent Data Engineering and Automated Learning - IDEAL 2007
    Place of PublicationBerlin
    PublisherSpringer Nature
    Pages209-218
    Number of pages9
    ISBN (Print)9783540772255
    DOIs
    Publication statusPublished - 2007

    Publication series

    NameLecture Notes in Computer Science
    Volume4881

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