Home Technical Report Software Datasets Demo
Manifold Regularization is a family of learning algorithms based on a new form of regularization with which both labeled and unlabeled data can be incorporated in a general purpose learner. Transductive Graph Learning algorithms and standard methods like SVM and Regularized Least Squares can be obtained as special cases of this framework.
M. Belkin,P. Niyogi,V. Sindhwani
On Manifold Regularization, 2004