Machine Learning, Volume 42, 2001 (original) (raw)

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Volume 42, Number 1/2, January 2001

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    Douglas H. Fisher:
    Introduction. 5-7
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    Marina Meila, David Heckerman:
    An Experimental Comparison of Model-Based Clustering Methods. 9-29
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    Mohammed Javeed Zaki:
    SPADE: An Efficient Algorithm for Mining Frequent Sequences. 31-60
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    Peter A. Flach, Nicolas Lachiche:
    Confirmation-Guided Discovery of First-Order Rules with Tertius. 61-95
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    Nathalie Japkowicz:
    Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks. 97-122
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    Adam J. Grove, Dan Roth:
    Linear Concepts and Hidden Variables. 123-141
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    Inderjit S. Dhillon, Dharmendra S. Modha:
    Concept Decompositions for Large Sparse Text Data Using Clustering. 143-175
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    Thomas Hofmann:
    Unsupervised Learning by Probabilistic Latent Semantic Analysis. 177-196

Volume 42, Number 3, March 2001

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    Foster J. Provost, Tom Fawcett:
    Robust Classification for Imprecise Environments. 203-231
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    Yoram Gat:
    A Learning Generalization Bound with an Application to Sparse-Representation Classifiers. 233-239
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    Vladislav Tadic:
    On the Convergence of Temporal-Difference Learning with Linear Function Approximation. 241-267
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    Jeffrey P. Bradford, Carla E. Brodley:
    The Effect of Instance-Space Partition on Significance. 269-286
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    Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller:
    Soft Margins for AdaBoost. 287-320

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