59 search results - page 7 / 12 » Applying RBF Neural Networks to Cancer Classification Based ... |
MDAI
2005
Springer
14 years 1 months ago
2005
Springer
Combining a set of classifiers has often been exploited to improve the classification performance. Accurate as well as diverse base classifiers are prerequisite to construct a good...
BMCBI
2006
13 years 8 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
BMCBI
2008
13 years 8 months ago
2008
Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
ICANN
2009
Springer
2009
Springer
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
13 years 11 months ago
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...