Abstract| The Support Vector (SV) machine is a novel type of learning machine, based on statistic... more Abstract| The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classi ers, neural networks, and radial basis function (RBF) networks as special cases. In the RBF case, the SV algorithm automatically determines centers, weights and threshold that minimize an upper bound on the expected test error.
Abstract| The Support Vector (SV) machine is a novel type of learning machine, based on statistic... more Abstract| The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classi ers, neural networks, and radial basis function (RBF) networks as special cases. In the RBF case, the SV algorithm automatically determines centers, weights and threshold that minimize an upper bound on the expected test error.
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Papers by C. Burges