Kernel-based online machine learning and support vector reduction.
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick · 2007
Abstract. We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online methods are particularly useful in situations which involve streaming data, such as medical or financial applications. We show that the concept of span of support vectors can be used to build a classifier that performs reasonably well while satisfying given space and time constraints, thus making it potentially suitable for such online situations. 1