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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
Volume 45, Number 2, November 2001
- 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
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems. 171-186 - Peter Tiño
Predicting the Future of Discrete Sequences from Fractal Representations of the Past. 187-217 - Boris G. Mirkin
Reinterpreting the Category Utility Function. 219-228
Volume 45, Number 3, December 2001
- 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
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