1083 search results - page 1 / 217 » Learning Bounds for Support Vector Machines with Learned Ker... |
COLT
2006
Springer
13 years 8 months ago
2006
Springer
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
EUROCOLT
1999
Springer
13 years 9 months ago
1999
Springer
COLT
1999
Springer
13 years 9 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...