Open AccessOn Practical Choice of Smoothing Parameter in Nonparametric Classification
Author(s) -
Rae-Sang Kim,
Kee-Hoon Kang
Publication year - 2008
Publication title -
communications for statistical applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.326
H-Index - 6
eISSN - 2383-4757
pISSN - 2287-7843
DOI - 10.5351/ckss.2008.15.2.283
Subject(s) - smoothing , nonparametric statistics , cross validation , kernel smoother , bandwidth (computing) , bayes' theorem , kernel density estimation , mathematics , kernel (algebra) , bayes classifier , naive bayes classifier , statistics , kernel method , nonparametric regression , bayes error rate , mathematical optimization , computer science , artificial intelligence , bayesian probability , support vector machine , radial basis function kernel , computer network , combinatorics , estimator