2476 search results - page 2 / 496 » Model Selection and Error Estimation |
BMCBI
2006
13 years 5 months ago
2006
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
BIOINFORMATICS
2005
13 years 5 months ago
2005
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
NCI
2004
13 years 7 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
ESANN
2003
13 years 7 months ago
2003
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...