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ORCIDMachine 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 - Peter D. Turney:
Technical Note: Bias and the Quantification of Stability. 23-33 - Foster J. Provost, Bruce G. Buchanan:
Inductive Policy: The Pragmatics of Bias Selection. 35-61 - Carla E. Brodley:
Recursive Automatic Bias Selection for Classifier Construction. 63-94 - Irene Stahl:
The Appropriateness of Predicate Invention as Bias Shift Operation in ILP. 95-117 - Hilde Adé, Luc De Raedt
, Maurice Bruynooghe:
Declarative Bias for Specific-to-General ILP Systems. 119-154 - Devika Subramanian:
Shifting Vocabulary Bias in Speedup Learning. 155-191
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 - Sally A. Goldman, Manfred K. Warmuth:
Learning Binary Relations Using Weighted Majority Voting. 245-271 - Corinna Cortes, Vladimir Vapnik:
Support-Vector Networks. 273-297
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