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Theory

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Papers

A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006
The Interplay of Optimization and Machine Learning Research JMLR 2006
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006
On Model Selection Consistency of Lasso JMLR 2006
Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006
On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006
Universal Kernels JMLR 2006
On Comparing the Power of Mobile Robots RSS 2006
Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005
Stability of Randomized Learning Algorithms JMLR 2005
Tutorial on Practical Prediction Theory for Classification JMLR 2005
Frames, Reproducing Kernels, Regularization and Learning JMLR 2005
Generalization Error Bounds for Threshold Decision Lists JMLR 2004
PAC-learnability of Probabilistic Deterministic Finite State Automata JMLR 2004
Computable Shell Decomposition Bounds JMLR 2004
Some Dichotomy Theorems for Neural Learning Problems JMLR 2004
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition JMLR 2004
Rational Kernels: Theory and Algorithms JMLR 2004
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004
Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004
Overfitting in Making Comparisons Between Variable Selection Methods JMLR 2003
On the Proper Learning of Axis-Parallel Concepts JMLR 2003
Sparseness of Support Vector Machines JMLR 2003
Stability and Generalization JMLR 2002