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Incremental Learning

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Book cover Encyclopedia of Machine Learning

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Recommended Reading

  • Domingos, P., & Hulten, G. (2003). A general framework for mining massive data streams. Journal of Computational and Graphical Statistics, 12.

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  • Giraud-Carrier, C. (2000). A note on the utility of incremental learning. AI Communications, 13, 215–223.

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  • Utgoff, P. E., Berkman, N. C., & Clouse, J. A. (1997). Decision tree induction based on efficient tree restructuring. Machine Learning, 29, 5–44.

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Authors and Affiliations

    Authors
    1. Paul E. Utgoff
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    Editors and Affiliations

    1. School of Computer Science and Engineering, University of New South Wales, Sydney, Australia, 2052

      Claude Sammut

    2. Faculty of Information Technology, Clayton School of Information Technology, Monash University, P.O. Box 63, Victoria, Australia, 3800

      Geoffrey I. Webb

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    © 2011 Springer Science+Business Media, LLC

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    Utgoff, P.E. (2011). Incremental Learning. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_386

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