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Support vector machines (SVMs) are one of the most successful algorithms for classification. However, due to their space and time requirements, they are not suitable for on-line learning, that is, when presented with an endless stream of training observations.In this paper we propose a new on-line algorithm, called on-line independent support vector machines (OISVMs), which approximately converges...
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