Entropy number bound is a capacity measure for learning machines, which is recently proposed by Williamson et. al.[1]. Based on his capacity measure and the structural risk ninimization principle, we actually implement an optimal hyperplaneclassifier. In on-line character recognition experiment using the tangent distance, our method performed better than the conventional optimal hyperplane classifier based on VC dimension.
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