24 search results - page 3 / 5 » Connecting the Out-of-Sample and Pre-Image Problems in Kerne... |
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
ICASSP
2009
IEEE
13 years 9 months ago
2009
IEEE
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
LATIN
2010
Springer
13 years 12 months ago
2010
Springer
Abstract. We introduce the NP-hard graph-based data clustering problem s-Plex Cluster Vertex Deletion, where the task is to delete at most k vertices from a graph so that the conne...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
BMCBI
2008
13 years 5 months ago
2008
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...