509 search results - page 11 / 102 » Support Vector Machines: Theory and Applications |
GECCO
2007
Springer
14 years 9 days ago
2007
Springer
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
ESANN
2007
13 years 10 months ago
2007
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
BIBE
2008
IEEE
13 years 8 months ago
2008
IEEE
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
JMLR
2008
13 years 8 months ago
2008
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
FLAIRS
2003
13 years 9 months ago
2003
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...