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Theory

4950 directly classified papers

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Papers

No-regret Algorithms for Online Convex Programs NIPS 2006
Ordinal Regression by Extended Binary Classification NIPS 2006
Tighter PAC-Bayes Bounds NIPS 2006
Frames, Reproducing Kernels, Regularization and Learning JMLR 2005
Tutorial on Practical Prediction Theory for Classification JMLR 2005
Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005
Stability of Randomized Learning Algorithms JMLR 2005
Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004
PAC-learnability of Probabilistic Deterministic Finite State Automata JMLR 2004
Computable Shell Decomposition Bounds JMLR 2004
Generalization Error Bounds for Threshold Decision Lists JMLR 2004
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition JMLR 2004
Some Dichotomy Theorems for Neural Learning Problems JMLR 2004
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004
Rational Kernels: Theory and Algorithms JMLR 2004
Sparseness of Support Vector Machines JMLR 2003
Overfitting in Making Comparisons Between Variable Selection Methods JMLR 2003
On the Proper Learning of Axis-Parallel Concepts JMLR 2003
Stability and Generalization JMLR 2002
Covering Number Bounds of Certain Regularized Linear Function Classes JMLR 2002
The Representational Power of Discrete Bayesian Networks JMLR 2002
On the Influence of the Kernel on the Consistency of Support Vector Machines JMLR 2001
On the Size of Convex Hulls of Small Sets JMLR 2001
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers JMLR 2000