Convergence rates for single hidden layer feedforward networks

The importance of convexity in learning with squared loss

COLT '96 Proceedings of the ninth annual conference on Computational learning theory

Prequential and Cross-Validated Regression Estimation

Machine Learning

Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks

MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition

Degree of approximation results for feedforward networks approximating unknown mappings and their derivatives

Neural Computation

Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors

Neural Networks