Learning rate and outlier analysis of linear learning algorithms

The learning rate is analyzed for linear learning algorithms in this paper. In the presence of outliers, the robustness of several linear learning algorithms is given and it is shown that an absolute criterion based learning algorithm is more robust than the corresponding quadratic criterion based learning algorithm.