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  1. 1
    by Nevill-Manning, Craig G.
    Published 1995
    Subjects “...Machine learning....”
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    The development of Holte's 1R classifier /
  2. 2
    by Martin, Brent
    Published 1995
    Subjects “...Machine learning....”
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    Instance-based learning : nearest neighbour with generalisation /
  3. 3
    by Holmes, Geoffrey
    Published 1997
    Subjects “...Machine learning....”
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    Discovering inter-attribute relationships /
  4. 4
    by Hall, Mark A. (Mark Andrew)
    Published 1999
    Subjects “...Machine learning....”
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    Feature selection for discrete and numeric class machine learning /
  5. 5
    by Cunningham, Sally Jo
    Published 1995
    Subjects “...Machine learning....”
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    Machine learning and statistics : a matter of perspective /
  6. 6
    by Ting, Kai Ming
    Published 1998
    Subjects “...Machine learning....”
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    Boosting trees for cost-sensitive classifications /
  7. 7
    by Maulsby, David, 1957-
    Published 1996
    Subjects “...Machine learning....”
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    Learning agents : from user study to implementation /
  8. 8
    by Cleary, John G.
    Published 1996
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    An MDL estimate of the significance of rules /
  9. 9
    by Bouckaert, Remco R.
    Published 2002
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    Accuracy bounds for ensembles under 0 - 1 loss /
  10. 10
    by Trigg, Leonard
    Published 1998
    Subjects “...Machine learning....”
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    An entropy gain measure of numeric prediction performance /
  11. 11
    by Hall, Mark A. (Mark Andrew)
    Published 2000
    Subjects “...Machine learning....”
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    Correlation-based feature selection for discrete and numeric class machine learning /
  12. 12
    by Mitchell, Scott
    Published 1995
    Subjects “...Machine learning....”
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    The application of machine learning techniques to time-series data /
  13. 13
    Published 2002
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    A logistic boosting approach to inducing multiclass alternating decision trees /
  14. 14
    by Frank, Eibe
    Published 2003
    Subjects “...Machine learning Mathematical models....”
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    Applying propositional learning algorithms to multi-instance data /
  15. 15
    by Frank, Eibe
    Published 2003
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    Locally weighted naive Bayes /
  16. 16
    by Ting, Kai Ming
    Published 1997
    Subjects “...Machine learning....”
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    Learning from batched data : model combination vs data combination /
  17. 17
    by Frank, Eibe
    Published 1998
    Subjects “...Machine learning....”
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    Generating accurate rule sets without global optimization /
  18. 18
    Published 1999
    Subjects “...Machine learning....”
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    Weka : practical machine learning tools and techniques with Java implementations /
  19. 19
    by Smith, Tony C.
    Published 1995
    Subjects “...Machine learning....”
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    Subset selection using rough numeric dependency /
  20. 20
    by Cunningham, Sally Jo
    Published 1997
    Subjects “...Machine learning....”
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    Applications of machine learning in information retrieval /

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