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NIPS
2003
13 years 5 months ago
2003
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
COLT
2004
Springer
13 years 10 months ago
2004
Springer
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...