An empirical comparison of in-learning and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications

Francesco Tortorella. An empirical comparison of in-learning and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications. In 12th International Conference on Image Analysis and Processing (ICIAP 2003), 17-19 September 2003, Mantova, Italy. pages 560-565, IEEE Computer Society, 2003. [doi]

Abstract

Abstract is missing.