976 search results - page 35 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
192
click to vote
ISCI
2008
15 years 6 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
144
click to vote
COLT
2005
Springer
15 years 11 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
157
click to vote
ESANN
2007
15 years 7 months ago
2007
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
161
click to vote
ICDM
2002
IEEE
15 years 11 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
134
click to vote
TSP
2008
15 years 6 months ago
2008
We propose Gaussian processes for regression as a novel nonlinear equalizer for digital communications receivers. GPR's main advantage, compared to previous nonlinear estimat...