Efficient Classification for Metric Data

11 Jun 2013Lee-Ad GottliebAryeh KontorovichRobert Krauthgamer

Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as string edit and earthmover distance. A general framework developed for this purpose by von Luxburg and Bousquet [JMLR, 2004] left open the questions of computational efficiency and of providing direct bounds on generalization error... (read more)

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