To improve the training speed of SVM, we propose a new SVM training approach which takes thick convex-hull as training set. The approach makes better use of the margin information for classification of data sets, and thus extends the use of convex hull to approximately linearly separable problems. Experiments on 5 UCI data sets indicate that the approach speeds up training of SVM with guarantee of generalization accuracy.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fast SVM Training Based on Thick Convex-hull


    Beteiligte:
    Zhang, Hong-da (Autor:in) / Wang, Xiao-dan (Autor:in) / Xu, Hai-Long (Autor:in) / Li, Yan-lei (Autor:in) / Quan, Wen (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    393714 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fast component labelling and convex hull computation on reconfigurable meshes

    Olariu, S. / Schwing, J. L. / Zhang, J. | British Library Online Contents | 1993


    Wiggle hull design having a concave and convex planing hull

    ALMETER JOHN | Europäisches Patentamt | 2016

    Freier Zugriff


    Detecting textured objects using convex hull

    Lu, K. / Pavlidis, T. | British Library Online Contents | 2007


    Multivariate Fault Detection with Convex Hull

    Luo, M. / IEEE / AIAA | British Library Conference Proceedings | 2004