Selection of Tuning Parameters for Support Vector Machines
Victor Solo · 2006
Support vector machines have become important in classification, biometrics, machine learning and pattern recognition. However, successful application requires selection of various tuning parameters such as kernel parameters and penalty or margin parameters. We apply a new technique for this problem which provides very simple structure for the automatic selector.