Branch and Bound for Semi-Supervised Support Vector Machines

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Chapelle, O.; Sindhwani, V.; Keerthi, S.;

Semi-supervised SVMs (S3VMs) attempt to learn low-density separators by maximizing the margin over labeled and unlabeled examples. The associated optimization problem is non-convex. To examine the full potential of S3VMs modulo local minima problems in current implement... View more
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