Incremental Learning with Support Vector Machines

  • Authors:
  • Stefan Rüping

  • Affiliations:
  • -

  • Venue:
  • ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
  • Year:
  • 2001

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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 [3 ]. Also, some insight into the interpretability of support vectors s given.