2012
A comparative analysis of instance-based penalization techniques for classification
Publication
Publication
Several instance-based large-margin classifiers have recently been put forward in the literature: Support Hyperplanes, Nearest Convex Hull classifier and Soft Nearest Neighbor. We examine those techniques from a common fit-versuscomplexity framework and study the links between them. Finally, we compare the performance of these techniques vis-a-vis each other and other standard classification methods.
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| doi.org/10.1007/978-1-4614-1903-7, hdl.handle.net/1765/87984 | |
| Organisation | Department of Econometrics |
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Nalbantov, G., Groenen, P., & Smirnov, E. (2012). A comparative analysis of instance-based penalization techniques for classification. doi:10.1007/978-1-4614-1903-7 |
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