204 search results - page 13 / 41 » Scaling the Kernel Function to Improve Performance of the Su... |
ICDM
2002
IEEE
14 years 26 days ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
INFORMATICALT
2007
13 years 7 months ago
2007
In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
BMCBI
2005
13 years 7 months ago
2005
Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...