Regression

Novi Quadrianto, Wray Buntine

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionarypeer-review

    Abstract

    Regression is a fundamental problem in statistics and machine learning. In regression studies, we are typically interested in inferring a real-valued function (called a regression function) whose values correspond to the mean of a dependent (or response or output) variable conditioned on one or more independent (or input) variables. Many different techniques for estimating this regression function have been developed, including parametric, semi-parametric, and nonparametric methods.
    Original languageEnglish
    Title of host publicationEncyclopedia of Machine Learning
    EditorsClaude Sammut & Geoffrey I.Webb
    Place of PublicationNew York
    PublisherSpringer
    Pages5pp
    Volume6
    ISBN (Print)9780387307688
    Publication statusPublished - 2010

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