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ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
PRL
2006
13 years 7 months ago
2006
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
IJON
2011
13 years 2 months ago
2011
Several theoretical methods have been developed in the past years to evaluate the generalization ability of a classifier: they provide extremely useful insights on the learning ph...
NIPS
1996
13 years 9 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...