The nature of statistical learning theory
The nature of statistical learning theory
Making large-scale support vector machine learning practical
Advances in kernel methods
Support vector domain description
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
A new approximate maximal margin classification algorithm
The Journal of Machine Learning Research
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This paper proposes a novel hypersphere support vector machines based on multiplicative updates. This algorithm can obtain the boundary of hypersphere containing one class of samples by the description of the training samples from one class and uses this boundary to classify the test samples. Moreover, new multiplicative updates are derived to solve sum and box constrained quadratic programming. The experiments show the superiority of our new algorithm.