Machine Learning, Volume 45, 2001 (original) (raw)

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Volume 45, Number 1, October 2001

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    Leo Breiman:
    Random Forests. 5-32
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    Don R. Hush, Clint Scovel:
    On the VC Dimension of Bounded Margin Classifiers. 33-44
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    Mark Brodie, Gerald DeJong:
    Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control. 45-76
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    Erik van Nimwegen, James P. Crutchfield:
    Optimizing Epochal Evolutionary Search: Population-Size Dependent Theory. 77-114

Volume 45, Number 2, November 2001

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    Yishay Mansour, Mariano Schain:
    Learning with Maximum-Entropy Distributions. 123-145
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    Marco Ramoni, Paola Sebastiani:
    Robust Learning with Missing Data. 147-170
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    David J. Hand, Robert J. Till:
    A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems. 171-186
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    Peter Tiño, Georg Dorffner:
    Predicting the Future of Discrete Sequences from Fractal Representations of the Past. 187-217
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    Boris G. Mirkin:
    Reinterpreting the Category Utility Function. 219-228

Volume 45, Number 3, December 2001

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    Yasuhiko Morimoto, Hiromu Ishii, Shinichi Morishita:
    Efficient Construction of Regression Trees with Range and Region Splitting. 235-259
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    Leo Breiman:
    Using Iterated Bagging to Debias Regressions. 261-277
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    Bo Thiesson, Christopher Meek, David Heckerman:
    Accelerating EM for Large Databases. 279-299
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    Jyrki Kivinen, Manfred K. Warmuth:
    Relative Loss Bounds for Multidimensional Regression Problems. 301-329

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