Machine Learning, Volume 53, 2003

Volume 53, Numbers 1-2, October-November 2003

• Yoram Gat:
  A Microchoice Bound for Continuous-Space Classification Algorithms. 5-21
  Electronic Edition (link) BibTeX
• Marko Robnik-Sikonja, Igor Kononenko:
  Theoretical and Empirical Analysis of ReliefF and RReliefF. 23-69
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• Alan Fern, Robert Givan:
  Online Ensemble Learning: An Empirical Study. 71-109
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• Tessa A. Lau, Steven A. Wolfman, Pedro Domingos, Daniel S. Weld:
  Programming by Demonstration Using Version Space Algebra. 111-156
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• Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage:
  Improved Rooftop Detection in Aerial Images with Machine Learning. 157-191
  Electronic Edition (link) BibTeX

Volume 53, Number 3, December 2003

• Toshihiro Kamishima, Fumio Motoyoshi:
  Learning from Cluster Examples. 199-233
  Electronic Edition (link) BibTeX
• Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong:
  Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers. 235-263
  Electronic Edition (link) BibTeX
• Claudio Gentile:
  The Robustness of the p-Norm Algorithms. 265-299
  Electronic Edition (link) BibTeX