Some Bayes Risk Consistent Non-parametric Methods for Classification |
From inside the book
21 pages matching estimated non-error rates in this book
Where's the rest of this book?
Results 1-3 of 21
Common terms and phrases
algorithm applies assigned assume Bayes risk consistent Chapter classification problem Classification Rule constant continuous convergence correct classification defined denote density estimation difference distribution function empiric function empiric rules estimated non-error rates example exists extrema of H finite fixed follows given gives H₁ H₁n H₂ Hence histogram rule ho(n individual infimum integer interval known Lemma mean non-error rates mean value theorem measure method mixed population mixture nonparametric Note number of extrema observations optimal rule otherwise parametric picked Pjfj points population probability probability of correct procedures Proof proportions region relative extrema relative supremum respectively rule based Ryzin 56 sample size satisfy sequence shown specified Suppose Table taken Theorem thesis training sample University write x₁ Yo-Y