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The Trace Criterion for Kernel Bandwidth Selection for Support Vector Data Description
Support vector data description (SVDD) is a popular anomaly detection technique.
Kernel Bandwidth Selection for SVDD: Peak Criterion Approach for Large Data
When training datasets are large, the time required to obtain the optimal value of the Gaussian kernel bandwidth parameter according to Peak method can become prohibitively large.
Sampling Method for Fast Training of Support Vector Data Description
Support Vector Data Description (SVDD) is a popular outlier detection technique which constructs a flexible description of the input data.
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