Optimal hyperplane classifier based on entropy number bound
Entropy number bound is a capacity measure for learning machines, proposed by Williamson et. al. (1998). Based on this capacity measure and the structural risk minimization principle, we actually implement an optimal hyperplane classifier. In online character recognition experiment using the tangent distance, our method performed better than the conventional optimal hyperplane classifier based on VC dimension.