1. Universal Algorithms for Learning Theory. Part II: Piecewise Polynomial Functions

   • Peter Binev
   • Albert Cohen
   • Ronald DeVore

   OriginalPaper 15 March 2007 Pages: 127 - 152

2. Learning Theory Estimates via Integral Operators and Their Approximations

   • Steve Smale
   • Ding-Xuan Zhou

   OriginalPaper 15 March 2007 Pages: 153 - 172

3. Thresholding in Learning Theory

   • Gerard Kerkyacharian
   • Dominique Picard

   OriginalPaper 20 April 2007 Pages: 173 - 203

4. Approximate Maximum a Posteriori with Gaussian Process Priors

   • Markus Hegland

   OriginalPaper 04 April 2007 Pages: 205 - 224

5. How to Compare Different Loss Functions and Their Risks

   • Ingo Steinwart

   OriginalPaper 04 April 2007 Pages: 225 - 287

6. On Early Stopping in Gradient Descent Learning

   • Yuan Yao
   • Lorenzo Rosasco
   • Andrea Caponnetto

   OriginalPaper 04 April 2007 Pages: 289 - 315