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.
Image credit: http://www.cs.cmu.edu/~dmunoz/images/cmutr10.png
Candidate: Andrea Boddi