Machine Learning, Volume 40, 2000 (original) (raw)

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Volume 40, Number 1, July 2000

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    Yishay Mansour, Sigal Sahar:
    Implementation Issues in the Fourier Transform Algorithm. 5-33
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    Zijian Zheng:
    Constructing X-of-N Attributes for Decision Tree Learning. 35-75
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    Christopher K. I. Williams, Francesco Vivarelli:
    Upper and Lower Bounds on the Learning Curve for Gaussian Processes. 77-102

Volume 40, Number 2, August 2000

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    Matthew Young-Lai, Frank Wm. Tompa:
    Stochastic Grammatical Inference of Text Database Structure. 111-137
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    Thomas G. Dietterich:
    An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization. 139-157
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    Geoffrey I. Webb:
    MultiBoosting: A Technique for Combining Boosting and Wagging. 159-196

Volume 40, Number 3, September 2000

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    Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih:
    A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms. 203-228
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    Leo Breiman:
    Randomizing Outputs to Increase Prediction Accuracy. 229-242
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    Jonathan Baxter, Andrew Tridgell, Lex Weaver:
    Learning to Play Chess Using Temporal Differences. 243-263
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    Rémi Munos:
    A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions. 265-299

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