8 search results - page 1 / 2 » Diffusion Kernels on Graphs and Other Discrete Input Spaces |
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
The application of kernel-based learning algorithms has, so far, largely been confined to realvalued data and a few special data types, such as strings. In this paper we propose a...
BMCBI
2008
13 years 4 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...
WISTP
2010
Springer
13 years 11 months ago
2010
Springer
Widespread use and general purpose computing capabilities of next generation smartphones make them the next big targets of malicious software (malware) and security attacks. Given ...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Weighted graph regularization provides a rich framework that allows to regularize functions defined over the vertices of a weighted graph. Until now, such a framework has been only...