447 search results - page 4 / 90 » Choosing Multiple Parameters for Support Vector Machines |
ESWA
2006
13 years 7 months ago
2006
ACML
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
TNN
2010
13 years 1 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
PAMI
2010
13 years 5 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....
NIPS
2004
13 years 8 months ago
2004
The support vector machine (SVM) is a widely used tool for classification. Many efficient implementations exist for fitting a two-class SVM model. The user has to supply values fo...