Machine Learning, Volume 42, 2001

Volume 42, Number 1/2, January 2001

Douglas H. Fisher: Introduction. 5-7 BibTeX
Marina Meila, David Heckerman: An Experimental Comparison of Model-Based Clustering Methods. 9-29 BibTeX
Mohammed Javeed Zaki: SPADE: An Efficient Algorithm for Mining Frequent Sequences. 31-60 BibTeX
Peter A. Flach, Nicolas Lachiche: Confirmation-Guided Discovery of First-Order Rules with Tertius. 61-95 BibTeX
Nathalie Japkowicz: Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks. 97-122 BibTeX
Adam J. Grove, Dan Roth: Linear Concepts and Hidden Variables. 123-141 BibTeX
Inderjit S. Dhillon, Dharmendra S. Modha: Concept Decompositions for Large Sparse Text Data Using Clustering. 143-175 BibTeX
Thomas Hofmann: Unsupervised Learning by Probabilistic Latent Semantic Analysis. 177-196 BibTeX

Foster J. Provost, Tom Fawcett: Robust Classification for Imprecise Environments. 203-231 BibTeX
Yoram Gat: A Learning Generalization Bound with an Application to Sparse-Representation Classifiers. 233-239 BibTeX
Vladislav Tadic: On the Convergence of Temporal-Difference Learning with Linear Function Approximation. 241-267 BibTeX
Jeffrey P. Bradford, Carla E. Brodley: The Effect of Instance-Space Partition on Significance. 269-286 BibTeX
Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: Soft Margins for AdaBoost. 287-320 BibTeX