175 search results - page 5 / 35 » A DC-programming algorithm for kernel selection |
ECML
2006
Springer
14 years 9 days ago
2006
Springer
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...
ICPR
2010
IEEE
13 years 12 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
ICC
2007
IEEE
14 years 3 months ago
2007
IEEE
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
ESANN
2007
13 years 10 months ago
2007
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...