A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification

    Knowledge-Based Systems, Volume 95, Issue C, 2015.

    Cited by: 30|Bibtex|Views13|Links
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    Abstract:

    The twin hyper-sphere support vector machine (THSVM) classifies two classes of samples via two hyper-spheres instead of a pair of nonparallel hyper-planes as in the conversional twin support vector machine (TSVM). Moreover THSVM avoids the matrix inverse operation when solving two dual quadratic programming problems (QPPs). However it can...More

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