1416 search results - page 88 / 284 » Optimal feature selection for support vector machines |
BMCBI
2008
13 years 8 months ago
2008
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
CIKM
2010
Springer
13 years 5 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
JMLR
2008
13 years 7 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
BMCBI
2011
13 years 2 months ago
2011
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...