Machine Learning, Volume 71, 2008

Volume 71, Number 1, April 2008

• Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski:
  Inductive process modeling. 1-32
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• Yuanqing Li, Cuntai Guan:
  Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm. 33-53
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• Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
  A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. 55-88
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• András Antos, Csaba Szepesvári, Rémi Munos:
  Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path. 89-129
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• Geoffrey I. Webb:
  Discovering significant patterns. 131
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Volume 71, Number 2-3, June 2008

• Stefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche:
  Learning ( k , l )-contextual tree languages for information extraction from web pages. 155-183
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• Harri Lähdesmäki, Ilya Shmulevich:
  Learning the structure of dynamic Bayesian networks from time series and steady state measurements. 185-217
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• Chris Bourke, Kun Deng, Stephen D. Scott, Robert E. Schapire, N. V. Vinodchandran:
  On reoptimizing multi-class classifiers. 219-242
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• Marco Grzegorczyk, Dirk Husmeier:
  Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move. 265-305
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• Geoffrey I. Webb:
  Layered critical values: a powerful direct-adjustment approach to discovering significant patterns. 307-323
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