1263 search results - page 30 / 253 » Kernel methods for learning languages |
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
JMLR
2010
13 years 4 months ago
2010
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
IPPS
2008
IEEE
14 years 3 months ago
2008
IEEE
As high-end computer systems present users with rapidly increasing numbers of processors, possibly also incorporating attached co-processors, programmers are increasingly challeng...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
PCM
2004
Springer
14 years 2 months ago
2004
Springer
Kernel based methods have been of wide concern in the field of machine learning. This paper proposes a novel Gabor-Kernel Fisher analysis method (G-EKFM) for face recognition, whi...