Support Vector Machines (SVMs) are a type of supervised learning algorith,, other examples of which are Artificial Neural Networks (ANNs), Decision Trees, and Naive Bayesian Classifiers. Supervised learning algorithms are used to classify objects labled by a 'supervisor' - typically a human 'expert.'.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Support vector machines


    Contributors:

    Publication date :

    2004-01-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Training invariant support vector machines

    Decoste, D. / Scholkopf, B. | NTRS | 2002


    Lane detection using support vector machines

    Kim, Singhoon / Park, Jeongho / Cho, Seong-Ik et al. | Tema Archive | 2007


    Sparseness methods of support vector machines

    Li, Junfei / Zhang, Yiqin | British Library Conference Proceedings | 2022


    Incident detection using support vector machines

    Yuan, Fang | Online Contents | 2003


    Support vector machines for face authentication

    Jonsson, K. / Kittler, J. / Li, Y. P. et al. | British Library Online Contents | 2002