447 search results - page 4 / 90 » Choosing Multiple Parameters for Support Vector Machines |
ESWA
2006
15 years 3 months ago
2006
149
Voted
ACML
2009
Springer
15 years 7 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...
153
Voted
TNN
2010
14 years 10 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...
148
Voted
PAMI
2010
15 years 2 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....
128
Voted
NIPS
2004
15 years 5 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...