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Machine Learning, Volume 36, 1999
Volume 36, Numbers 1-2, July 1999
- Philip K. Chan, Salvatore J. Stolfo, David H. Wolpert:
Guest Editors' Introduction. 5-7 - Christopher J. Merz, Michael J. Pazzani:
A Principal Components Approach to Combining Regression Estimates. 9-32 - Christopher J. Merz:
Using Correspondence Analysis to Combine Classifiers. 33-58 - Padhraic Smyth, David H. Wolpert:
Linearly Combining Density Estimators via Stacking. 59-83 - Leo Breiman:
Pasting Small Votes for Classification in Large Databases and On-Line. 85-103 - Eric Bauer, Ron Kohavi:
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. 105-139
Volume 36, Number 3, September 1999
- Peter Auer, Philip M. Long:
Structural Results About On-line Learning Models With and Without Queries. 147-181 - Fernando C. N. Pereira, Yoram Singer:
An Efficient Extension to Mixture Techniques for Prediction and Decision Trees. 183-199 - Tapio Elomaa, Juho Rousu:
General and Efficient Multisplitting of Numerical Attributes. 201-244
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