683 search results - page 6 / 137 » Generalization Bounds for Learning Kernels |
84
Voted
BMVC
2010
14 years 7 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...
67
Voted
COLT
2001
Springer
15 years 2 months ago
2001
Springer
ALT
2008
Springer
14 years 11 months ago
2008
Springer
107
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COLT
1999
Springer
15 years 1 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...
103
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ICML
2007
IEEE
15 years 10 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...