1015 search results - page 52 / 203 » Kernels for Multi--task Learning |
82
Voted
IJON
2006
15 years 16 days ago
2006
The success of Support Vector Machine (SVM) gave rise to the development of a new class of theoretically elegant learning machines which use a central concept of kernels and the a...
128
Voted
ML
2010
ACM
14 years 11 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
PRL
2008
15 years 15 days ago
2008
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed...
125
Voted
JMLR
2010
14 years 11 months ago
2010
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
80
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...