335 search results - page 2 / 67 » Optimizing F-Measure with Support Vector Machines |
AUSDM
2006
Springer
13 years 9 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...
FLAIRS
2003
13 years 6 months ago
2003
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...
JMLR
2008
13 years 5 months ago
2008
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
ICANNGA
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. The use of support vector machines for multi-category problems is still an open field to research. Most of the published works use the one-against-rest strategy, but with...
PR
2010
13 years 3 months ago
2010
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...