Solution Path for Semi-Supervised Classification with Manifold Regularization
Solution Path for Semi-Supervised Classification with Manifold Regularization
With very low extra computational cost, the entire solution path can be computed for various learning algorithms like support vector classification (SVC) and support vector regression (SVR). In this paper, we extend this promising approach to semi-supervised learning algorithms. In particular, we consider finding the solution path for the Laplacian …