1766 search results - page 1 / 354 » Classifier Selection Based on Data Complexity Measures |
CIARP
2005
Springer
13 years 11 months ago
2005
Springer
Tin Kam Ho and Ester Bernardò Mansilla in 2004 proposed to use data complexity measures to determine the domain of competition of the classifiers. They applied different classifie...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
BMCBI
2010
13 years 5 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Usually, performance of classifiers is evaluated on real-world problems that mainly belong to public repositories. However, we ignore the inherent properties of these data and how...
BMCBI
2006
13 years 5 months ago
2006
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...