6 search results - page 1 / 2 » Reducing the Storage Requirements of 1-v-1 Support Vector Ma... |
RSFDGRC
2005
Springer
13 years 10 months ago
2005
Springer
PR
2007
13 years 4 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
ASC
2008
13 years 5 months ago
2008
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
CIDM
2007
IEEE
13 years 9 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...