466 search results - page 15 / 94 » Feature subset selection bias for classification learning |
BMCBI
2006
14 years 9 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...
PR
2008
14 years 9 months ago
2008
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
TMI
2010
14 years 4 months ago
2010
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
RSCTC
2000
Springer
15 years 1 months ago
2000
Springer
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...