683 search results - page 6 / 137 » Generalization Bounds for Learning Kernels |
BMVC
2010
13 years 5 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
COLT
2001
Springer
13 years 12 months ago
2001
Springer
ALT
2008
Springer
13 years 9 months ago
2008
Springer
COLT
1999
Springer
13 years 11 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...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...