no code implementations • 21 Jul 2016 • Yan Wang, Ge Ou, Wei Pang, Lan Huang, George Macleod Coghill
We propose a novel support vector regression approach called e-Distance Weighted Support Vector Regression (e-DWSVR). e-DWSVR specifically addresses two challenging issues in support vector regression: first, the process of noisy data; second, how to deal with the situation when the distribution of boundary data is different from that of the overall data.