24 search results - page 1 / 5 » Decomposition Algorithms for Training Large-Scale Semiparame... |
PKDD
2009
Springer
14 years 5 months ago
2009
Springer
ECML
2006
Springer
14 years 24 days ago
2006
Springer
This paper presents a decomposition method for efficiently constructing 1-norm Support Vector Machines (SVMs). The decomposition algorithm introduced in this paper possesses many d...
JMLR
2006
13 years 10 months ago
2006
Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
CORR
2008
Springer
13 years 11 months ago
2008
Springer
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
TNN
2008
13 years 10 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...