Permutation Tests for Classification

We introduce and explore an approach to estimating statisticalsignificance of classification accuracy, which is particularly usefulin scientific applications of machine learning where highdimensionality of the data and the small number of training examplesrender most standard convergence bounds too...

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Bibliografski detalji
Glavni autori: Mukherjee, Sayan, Golland, Polina, Panchenko, Dmitry
Jezik:en_US
Izdano: 2005
Teme:
Online pristup:http://hdl.handle.net/1721.1/30408