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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2003: Developments in Applied Artificial Intelligence pp 134–147Cite as

The Study on Algorithm AE11 of Learning from Examples

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2718))

Abstract

We first put forwards the idea of positive extension matrix (PEM) in the paper. And then an algorithm AE11 was built with the aid of PEM. Finally we made the comparisons of our experimental results. The result is fairly satisfied.

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Author information

Authors and Affiliations

  1. Jodrey School of Computer Science, Acadia University, Wolfville, Nova Scotia, Canada, B4P 2R6

    HaiYi Zhang

  2. Department of computer Science, Harbin Institute of Technology, HeilongJiang, 150001, China

    JianDong Bi

  3. Turku Centre for Computer Science TUCS, Turku

    JianDong Bi

  4. Department of Information Systems, Abo Akademi University, Lemminkäinengatan 14 B, Fin-20520, Turku, Finland

    Barbro Back

Authors
  1. HaiYi Zhang
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  2. JianDong Bi
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  3. Barbro Back
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Loughborough University, Loughborough, LE11 3TU, England

    Paul W. H. Chung  & Chris Hinde  & 

  2. Dept. of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666, USA

    Moonis Ali

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© 2003 Springer-Verlag Berlin Heidelberg

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Zhang, H., Bi, J., Back, B. (2003). The Study on Algorithm AE11 of Learning from Examples. In: Chung, P.W.H., Hinde, C., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2003. Lecture Notes in Computer Science(), vol 2718. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45034-3_14

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  • DOI: https://doi.org/10.1007/3-540-45034-3_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40455-2

  • Online ISBN: 978-3-540-45034-4

  • eBook Packages: Springer Book Archive

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