990 search results - page 27 / 198 » Evolving kernels for support vector machine classification |
121
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NIPS
2001
15 years 6 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
157
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AVBPA
2005
Springer
15 years 10 months ago
2005
Springer
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
142
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CANDC
2002
ACM
15 years 4 months ago
2002
ACM
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
168
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EVOW
2006
Springer
15 years 8 months ago
2006
Springer
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
115
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JCP
2006
15 years 4 months ago
2006
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...