709 search results - page 16 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
87
Voted
CIBCB
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract— We applied Support Vector Machines to the prediction of the subcellular localization of transmembrane proteins, and compared the performance of different sequence kerne...
CSL
2006
Springer
14 years 9 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
89
Voted
GECCO
2007
Springer
15 years 1 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
67
Voted
JMLR
2008
14 years 9 months ago
2008
This paper investigates statistical performances of Support Vector Machines (SVM) and considers the problem of adaptation to the margin parameter and to complexity. In particular ...
DATAMINE
1998
14 years 9 months ago
1998
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...