434 search results - page 46 / 87 » Large-Scale Support Vector Learning with Structural Kernels |
IJCAI
2007
13 years 10 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
HYBRID
1998
Springer
14 years 27 days ago
1998
Springer
We look at distributed representation of structure with variable binding, that is natural for neural nets and allows traditional symbolic representation and processing. The repres...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
ESANN
2008
13 years 10 months ago
2008
This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...