1416 search results - page 30 / 284 » Optimal feature selection for support vector machines |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we p...
AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
ICAPR
2009
Springer
14 years 2 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...