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ORCIDMachine Learning, Volume 71, 2008
Volume 71, Number 1, April 2008
- Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski
:
Inductive process modeling. 1-32 - Yuanqing Li, Cuntai Guan:
Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm. 33-53 - Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. 55-88 - 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 - Geoffrey I. Webb:
Discovering significant patterns. 131
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 - Harri Lähdesmäki, Ilya Shmulevich:
Learning the structure of dynamic Bayesian networks from time series and steady state measurements. 185-217 - Chris Bourke, Kun Deng, Stephen D. Scott, Robert E. Schapire, N. V. Vinodchandran:
On reoptimizing multi-class classifiers. 219-242 - Marco Grzegorczyk, Dirk Husmeier:
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move. 265-305 - Geoffrey I. Webb:
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns. 307-323
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