no code implementations • NeurIPS 2013 • Alessandro Rudi, Guille D. Canas, Lorenzo Rosasco
A large number of algorithms in machine learning, from principal component analysis (PCA), and its non-linear (kernel) extensions, to more recent spectral embedding and support estimation methods, rely on estimating a linear subspace from samples.
