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• W2964031538 abstract "We present the first sample compression algorithm for nearest neighbors with non-trivial performance guarantees. We complement these guarantees by demonstrating almost matching hardness lower bounds, which show that our performance bound is nearly optimal. Our result yields new insight into margin-based nearest neighbor classification in metric spaces and allows us to significantly sharpen and simplify existing bounds. Some encouraging empirical results are also presented." @default.
• W2964031538 created "2019-07-30" @default.
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• W2964031538 date "2018-06-01" @default.
• W2964031538 modified "2023-10-15" @default.
• W2964031538 title "Near-Optimal Sample Compression for Nearest Neighbors" @default.
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• W2964031538 doi "https://doi.org/10.1109/tit.2018.2822267" @default.
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