Machine Learning, Volume 40, 2000

Volume 40, Number 1, July 2000

• Yishay Mansour, Sigal Sahar: Implementation Issues in the Fourier Transform Algorithm. 5-33
• Zijian Zheng: Constructing X-of-N Attributes for Decision Tree Learning. 35-75
• 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

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

Volume 40, Number 3, September 2000

• 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
• Leo Breiman: Randomizing Outputs to Increase Prediction Accuracy. 229-242
• Jonathan Baxter, Andrew Tridgell, Lex Weaver: Learning to Play Chess Using Temporal Differences. 243-263
• Rémi Munos: A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions. 265-299