Approximation and learning of multivariable functions by neural networks and kernel methods

Publikace projektu

• Learning with Regularization Networks (2006)
• Kernel Based Regularization Netowrks (2005)
• Integral Combinations of Heavisides (2006)
• Rates of Approximation of Smooth Functions by Gaussian Radial-Basis Networks (2006)
• Piecewise-Linear Neural Networks and Their Relationship to Rule Extraction from Data (2006)
• Integral Combinations of Heavisides (2010)
• Approximate Minimization of the Regularized Expected Error over Kernel Models (2008)