Machine Learning, Volume 45, 2001

Volume 45, Number 1, October 2001

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

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

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