Special Issue: Learning Theory

Issue Editors: Ronald A. DeVore and Gabor Lugosi

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127

P. Binev, A. Cohen, W. Dahmen, and R. DeVore
Universal Algorithms for Learning Theory. Part II: Piecewise Polynomial Functions

153

S. Smale and D.-X. Zhou
Learning Theory Estimates via Integral Operators and Their Approximations

173

G. Kerkyacharian and D. Picard
Thresholding in Learning Theory

205

M. Hegland
Approximate Maximum a Posteriori with Gaussian Process Priors

225

I. Steinwart
How to Compare Different Loss Functions and Their Risks

289

Y. Yao, L. Rosasco, and A. Caponnetto
On Early Stopping in Gradient Descent Learning