1015 search results - page 13 / 203 » Kernels for Multi--task Learning |
JMLR
2010
13 years 2 months ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We introduce a novel graph kernel called the Neighborhood Subgraph Pairwise Distance Kernel. The kernel decomposes a graph into all pairs of neighborhood subgraphs of small radius...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
ALT
2010
Springer
13 years 9 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
DSMML
2004
Springer
14 years 1 months ago
2004
Springer
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...