1. Theory of reproducing kernels;Aronszajn;Transactions of the American Mathematical Society,1950
2. Laplacian eigenmaps for dimensionality reduction and data representation;Belkin;Neural Computation,2003
3. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples;Belkin;Journal of Machine Learning Research,2006
4. On the mathematical foundations of learning;Cucker;Bulletin American Mathematical Society,2002
5. Learning Theory: An Approximation Theory Viewpoint;Cucker,2007