Machine Learning, Volume 20, 1995

Volume 20, Numbers 1-2, July 1995

• Diana F. Gordon, Marie desJardins: Evaluation and Selection of Biases in Machine Learning. 5-22 BibTeX
• Peter D. Turney: Technical Note: Bias and the Quantification of Stability. 23-33 BibTeX
• Foster J. Provost, Bruce G. Buchanan: Inductive Policy: The Pragmatics of Bias Selection. 35-61 BibTeX
• Carla E. Brodley: Recursive Automatic Bias Selection for Classifier Construction. 63-94 BibTeX
• Irene Stahl: The Appropriateness of Predicate Invention as Bias Shift Operation in ILP. 95-117 BibTeX
• Hilde Adé, Luc De Raedt, Maurice Bruynooghe: Declarative Bias for Specific-to-General ILP Systems. 119-154 BibTeX
• Devika Subramanian: Shifting Vocabulary Bias in Speedup Learning. 155-191 BibTeX

Volume 20, Number 3, September 1995

• David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. 197-243 BibTeX
• Sally A. Goldman, Manfred K. Warmuth: Learning Binary Relations Using Weighted Majority Voting. 245-271 BibTeX
• Corinna Cortes, Vladimir Vapnik: Support-Vector Networks. 273-297 BibTeX