Kernel Adaptive Filtering: Which Technique to Choose in Practice
| Title | Kernel Adaptive Filtering: Which Technique to Choose in Practice |
| Publication Type | Conference Paper |
| Year of Publication | 2013 |
| Authors | Van Vaerenbergh, S., and I. Santamaría |
| Conference Name | International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications (ROKS 2013) |
| Pagination | 101--102 |
| Month Published | July |
| ISBN Number | 978-94-6018-700-1 |
| Keywords | kernel adaptive filtering |
| Abstract | The field of kernel adaptive filtering has produced a myriad of techniques throughout the past decade. While each algorithm provides some advantages over others in certain scenarios, it is often not clear which technique should be used on a practical problem, in which specific restrictions are in place. We propose a set of empirical performance measures and we provide a framework that can be used to decide which algorithm to use in practice. We include results on several benchmark data sets. |
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