Reduction Techniques for Exemplar-Based Learning Algorithms (2000)

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by D. Randall Wilson , Tony R. Martinez
Venue:MACHINE LEARNING
Citations:25 - 4 self

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138 T.R.: Reduction Techniques for Instance-based Learning Algorithm – D. Randall Wilson, Tony R. Martinez, Robert Holte
© 2000 Kluwer Academic Publishers, Netherlands. – D. Randall Wilson, Tony R. Martinez
25 An Integrated Instance-Based Learning Algorithm – D. Randall Wilson, Tony R. Martinez - 2000
AN INTEGRATED INSTANCE-BASED LEARNING ALGORITHM – D. Randall, Wilson, Tony R. Martinez
212 Improved heterogeneous distance functions – D. Randall Wilson, Tony R. Martinez - 1997
114 A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms – Dietrich Wettschereck , David W. Aha, Takao Mohri - 1997
71 Instance pruning techniques – D. Randall Wilson, Tony R. Martinez - 1997
30 The omnipresence of case-based reasoning in science and application – David W. Aha - 1998
Mach Learn DOI 10.1007/s10994-010-5170-2 Bayesian instance selection for the nearest neighbor rule – Sylvain Ferr, Iz Marc Boullé, M. Boullé, Mach Learn