106 search results - page 9 / 22 » A Heuristic for Free Parameter Optimization with Support Vec... |
CIBCB
2006
IEEE
14 years 1 months ago
2006
IEEE
— Microarray data analysis is notoriously challenging as it involves a huge number of genes compared to only a limited number of samples. Gene selection, to detect the most signi...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
PAMI
2010
13 years 6 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
SWARM
2010
SPRINGER
13 years 6 months ago
2010
SPRINGER
This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ ...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...