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Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD 1998: Research and Development in Knowledge Discovery and Data Mining pp 87–95Cite as

Point estimation using the Kullback-Leibler loss function and MML

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1394))

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References

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Author information

Authors and Affiliations

  1. School of Computer Science and Software Engineering, Monash University, 3168, Clayton, Victoria, Australia

    David L. Dowe, Rohan A. Baxter, Jonathan J. Oliver & Chris S. Wallace

Authors
  1. David L. Dowe
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  2. Rohan A. Baxter
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  3. Jonathan J. Oliver
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  4. Chris S. Wallace
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Editor information

Editors and Affiliations

  1. School of Computer Science and Software Engineering, Monash university, 900 Dandenong Road, Caulfield East, Victoria, 3145, Australia

    Xindong Wu

  2. Department of Computer Science, The University of Melbourne, Parkville, Victoria, 3052, Australia

    Ramamohanarao Kotagiri

  3. School of Computer Science and Engineering, Monash university, Clayton, Victoria, 3168, Australia

    Kevin B. Korb

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© 1998 Springer-Verlag Berlin Heidelberg

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Dowe, D.L., Baxter, R.A., Oliver, J.J., Wallace, C.S. (1998). Point estimation using the Kullback-Leibler loss function and MML. In: Wu, X., Kotagiri, R., Korb, K.B. (eds) Research and Development in Knowledge Discovery and Data Mining. PAKDD 1998. Lecture Notes in Computer Science, vol 1394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64383-4_8

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  • DOI: https://doi.org/10.1007/3-540-64383-4_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64383-8

  • Online ISBN: 978-3-540-69768-8

  • eBook Packages: Springer Book Archive

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