A Genetic Algorithm Approach to Attribute Selection Utilising the Gamma Test

    Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddPennodadolygiad gan gymheiriaid

    Crynodeb

    In this paper, we present a methodology that facilitates attribute selection and dependence modelling utilising the Gamma Test and a Genetic Algorithm (GA). The Gamma Test, a non-linear analysis algorithm, forms the basis of an objective function that is utilised within a GA. The GA is applied to a range of multivariate dataseis, describing such problems as house price prediction and lymphography classification, in order to select a useful subset of features (or mask). Local Linear Regression is used to contrast the accuracy of models constructed using full masks and suggested masks. Results obtained demonstrate how the presented methodology assists the production of superior models.
    Iaith wreiddiolSaesneg
    TeitlApplications and Innovations in Intelligent Systems XI
    CyhoeddwrSpringer
    Tudalennau247-260
    Nifer y tudalennau14
    Dynodwyr Gwrthrych Digidol (DOIs)
    StatwsCyhoeddwyd - 2004

    Cyfres gyhoeddiadau

    EnwApplications and Innovations in Intelligent Systems XI

    Ôl bys

    Gweld gwybodaeth am bynciau ymchwil 'A Genetic Algorithm Approach to Attribute Selection Utilising the Gamma Test'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.

    Dyfynnu hyn