Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR

摘要

The performance of support vector regression (SVR) deeply depends on its hyperparameters such as an insensitive zone thickness, a penalty factor, and kernel parameters. A method called MCV-SVR was once proposed, which optimizes SVR hyperparameters so that