99 search results - page 4 / 20 » Learning the kernel via convex optimization |
169
Voted
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
170
Voted
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
147
Voted
MLG
2007
Springer
16 years 24 days ago
2007
Springer
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
176
Voted
ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
176
Voted
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...