1648 search results - page 105 / 330 » Training Data Selection for Support Vector Machines |
TCBB
2008
13 years 9 months ago
2008
The subcellular locations of proteins are important functional annotations. An effective and reliable subcellular localization method is necessary for proteomics research. This pap...
BMCBI
2011
13 years 23 days ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
BMCBI
2006
13 years 9 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
ICAISC
2010
Springer
13 years 9 months ago
2010
Springer
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...
TNN
2010
13 years 3 months ago
2010
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...