Machine Learning, Volume 45, 2001

Volume 45, Number 1, October 2001

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

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

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