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NIPS
2004
13 years 10 months ago
2004
We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretation we propose a support vector machine (SVM) for anomaly detection. We...
BMCBI
2005
13 years 8 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
ICPR
2000
IEEE
14 years 1 months ago
2000
IEEE
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...
SCAI
2008
13 years 10 months ago
2008
One of the largest factors affecting the loss for steel manufacturing are defects in the steel strips produced. Therefore the prediction of these defects forehand would be very im...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...