690 search results - page 64 / 138 » SVMC: Single-Class Classification With Support Vector Machin... |
150
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AVBPA
2005
Springer
15 years 9 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...
148
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KAIS
2006
15 years 3 months ago
2006
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
131
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KDD
1995
ACM
15 years 7 months ago
1995
ACM
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vec...
129
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...
146
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ICANN
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...