976 search results - page 67 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
198
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JMLR
2002
15 years 5 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
160
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JMLR
2010
15 years 28 days ago
2010
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
177
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IJCNN
2006
IEEE
16 years 4 days ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
180
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TIFS
2010
15 years 4 months ago
2010
In multimodal biometric information fusion, it is common to encounter missing modalities in which matching cannot be performed. As a result, at the match score level, this implies...
185
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...