On classification with incomplete data

We address the incomplete-data problem in which feature vectors to be classified are missing data (features). A (supervised) logistic regression algorithm for the classification of incomplete data is developed. Single or multiple imputation for the missing data is avoided by performing analytic inte...

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Détails bibliographiques

Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1998. - 29(2007), 3 vom: 16. März, Seite 427-36
Auteur principal:	Williams, David (Auteur)
Autres auteurs:	Liao, Xuejun, Xue, Ya, Carin, Lawrence, Krishnapuram, Balaji
Format:	Article
Langue:	English
Publié:	2007
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Evaluation Study Journal Article