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    ICML
    1994
    IEEE
    160views Machine Learning» more  ICML 1994»
    Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
    14 years 3 months ago
    Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
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    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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