JMLR Special Issue on Learning Theory

Introduction to the Special Issue on Learning Theory

Ralf Herbrich, Thore Graepel; 4(Oct):755--757, 2003.
[abs][pdf] [ps.gz] [ps]

On the Performance of Kernel Classes

Shahar Mendelson; 4(Oct):759--771, 2003.
[abs][pdf] [ps.gz] [ps]

Path Kernels and Multiplicative Updates

Eiji Takimoto, Manfred K. Warmuth; 4(Oct):773--818, 2003.
[abs][pdf] [ps.gz] [ps]

Tracking Linear-threshold Concepts with Winnow

Chris Mesterharm; 4(Oct):819--838, 2003.
[abs][pdf] [ps.gz] [ps]

Generalization Error Bounds for Bayesian Mixture Algorithms

Ron Meir, Tong Zhang; 4(Oct):839--860, 2003.
[abs][pdf] [ps.gz] [ps]

On the Rate of Convergence of Regularized Boosting Classifiers

Gilles Blanchard, G´bor Lugosi, Nicolas Vayatis; 4(Oct):861--894, 2003.
[abs][pdf] [ps.gz] [ps]

Concentration Inequalities for the Missing Mass and for Histogram Rule Error

David McAllester, Luis Ortiz; 4(Oct):895--911, 2003.
[abs][pdf] [ps.gz] [ps]