The location of the optimal hyperplane in the data space is determined by the data points selected as support vectors. If the data are noisy, one's first reaction might be to question the robustness of the margin of separation to the presence of noise.Yet careful study of the optimal hyperplane reveals that the margin of separation is actually robust to noise. Discuss the rationale for this robust behavior.