683 search results - page 8 / 137 » Generalization Bounds for Learning Kernels |
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
The Bayesian framework is ideally suited for induction problems. The probability of observing xt at
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
PAMI
2008
13 years 7 months ago
2008
ILP
2007
Springer
14 years 1 months ago
2007
Springer
: This paper is concerned with relational Support Vector Machines, at the intersection of Support Vector Machines (SVM) and relational learning or Inductive Logic Programming (ILP)...
NIPS
2007
13 years 8 months ago
2007
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...