Outlier Detection Based on Linearν-SVRM

This paper analyses the significance of parameter v in v-support vector regression machine (SVRM).Based on the meaning of parameter v- and e-insensitive function,a method is proposed for outlier detection in data fitting.Using linear v-SVRM,our method can deal with the large-scale data sets fast.Some numerical tests illustrate the feasibility and effectiveness of our method.