Semi-supervised training via a lagrangean approach


Implementation of global optimization algorithms, preferably in python, to trai a SVM in which some of the data has no label

Many algorithms exist for S3VM – exact (branch and bound) and heuristic (global optimization). We aim at implementing some of these in order to find a computationally efficient scheme.

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Candidate: Andrea Boddi