Some Properties of Regularized Kernel Methods

By Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto, Michele Piana, Alessandro Verri. 2004

103 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Lorenzo Rosasco
2. Andrea Caponnetto
3. Ernesto De Vito
4. Andreas Argyriou
5. Francis R. Bach
6. Alessandro Rudi
7. Bharath K. Sriperumbudur
8. Luca Baldassarre

Citations in the corpus

• Kernels for Vector-Valued Functions: a Review (2011, neutral): “The above result is the well known representer theorem originally proved in [51] (see also [88] and [26] for recent results and further references).”
• When is there a representer theorem? Vector versus matrix regularizers (2008, methodology): “Our analysis uses basic principles from matrixtheory, especially the useful notion of matrix nondecreasing function.”
• DISCRETIZATION ERROR ANALYSIS FOR TIKHONOV REGULARIZATION (2006, background): “Moreover, since the above functional is coercive and strictly convex, the solution fz,n exists and is unique (see [8]).”