November 14, 2002

Incremental learning with support vector machines

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Abstract

Support vector machines (SVMs) have become a popular tool for machine learning with large amounts of high dimensional data. In this paper an approach for incremental learning with support vector machines is presented, that improves the existing approach of Syed et al. (1999). An insight into the interpretability of support vectors is also given.

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Stefan Rüping (Thu,) studied this question.

synapsesocial.com/papers/6a0ebeaf8da6dd046147ac78 https://doi.org/https://doi.org/10.1109/icdm.2001.989589

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