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• W2974339911 abstract "We initiate the rigorous study of classification in quasi-metric spaces. These are point sets endowed with a distance function that is non-negative and also satisfies the triangle inequality, but is asymmetric. We develop and refine a learning algorithm for quasi-metrics based on sample compression and nearest neighbor, and prove that it has favorable statistical properties." @default.
• W2974339911 created "2019-09-26" @default.
• W2974339911 creator A5057494907 @default.
• W2974339911 creator A5089910117 @default.
• W2974339911 date "2019-09-22" @default.
• W2974339911 modified "2023-09-27" @default.
• W2974339911 title "Classification in asymmetric spaces via sample compression." @default.
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• W2974339911 hasPublicationYear "2019" @default.
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