1083 search results - page 1 / 217 » Learning Bounds for Support Vector Machines with Learned Ker... |
183
Voted
COLT
2006
Springer
15 years 4 months ago
2006
Springer
100
Voted
ICML
2000
IEEE
16 years 1 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...
109
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
106
Voted
EUROCOLT
1999
Springer
15 years 5 months ago
1999
Springer
130
Voted
COLT
1999
Springer
15 years 5 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...