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125
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ICML
1994
IEEE
160
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Machine Learning
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ICML 1994
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Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
15 years 6 months ago
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sci2s.ugr.es
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak
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