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Speculate-correct error bounds for k-nearest neighbor classifiers
Authors:Bax  Eric  Weng  Lingjie  Tian  Xu
Affiliation:1.Verizon, Playa Vista, USA
;2.LinkedIn, Mountain View, USA
;3.Sorin Capital Management, Stamford, USA
;
Abstract:Machine Learning - We introduce the speculate-correct method to derive error bounds for local classifiers. Using it, we show that k-nearest neighbor classifiers, in spite of their famously...
Keywords:
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