1584 search results - page 31 / 317 » Data selection for support vector machine classifiers |
63
Voted
GECCO
2007
Springer
15 years 1 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
MICCAI
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
BMCBI
2011
14 years 1 months ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...