Abstract
In this thesis, we use two algorithms, AdaBoostCascadeSVM.PL and AdaBoostCascadeRVM.PL, which to verify the effect of classification with dynamic adjustment C value, and observe the performance of accuracy and computation time. In AdaBoostCascadeSVM.PL, classification with dynamic adjustment C value can save 22~30 computation time, and receive the similar accuracy when C value equal 25 and 50. On the other hand, the complexity of AdaBoostCascadeRVM.PL is too high to obtain classifier efficiently.