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- Title
High-dimensional bolstered error estimation.
- Authors
Sima, Chao; Braga-Neto, Ulisses M; Dougherty, Edward R
- Abstract
In small-sample settings, bolstered error estimation has been shown to perform better than cross-validation and competitively with bootstrap with regard to various criteria. The key issue for bolstering performance is the variance setting for the bolstering kernel. Heretofore, this variance has been determined in a non-parametric manner from the data. Although bolstering based on this variance setting works well for small feature sets, results can deteriorate for high-dimensional feature spaces.
- Publication
Bioinformatics (Oxford, England), 2011, Vol 27, Issue 21, p3056
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btr518