1011 search results - page 44 / 203 » Feature Selection for Support Vector Machines |
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
CSL
2006
Springer
13 years 7 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...
MMM
2005
Springer
14 years 1 months ago
2005
Springer
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Support Vector Machines (SVM) are one of the most useful
techniques in classification problems. One clear example
is face recognition. However, SVM cannot be applied
when the fe...
ESWA
2007
13 years 7 months ago
2007
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...