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, 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
  

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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