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Optimization

14,969 papers

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Papers

Learning the Kernel Matrix with Semidefinite Programming JMLR 2004
A Geometric Approach to Multi-Criterion Reinforcement Learning JMLR 2004
Boosting as a Regularized Path to a Maximum Margin Classifier JMLR 2004
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition JMLR 2004
Knowledge-Based Kernel Approximation JMLR 2004
Some Properties of Regularized Kernel Methods JMLR 2004
The Entire Regularization Path for the Support Vector Machine JMLR 2004
Ultraconservative Online Algorithms for Multiclass Problems JMLR 2003
Extensions to Metric-Based Model Selection JMLR 2003
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003
Use of the Zero-Norm with Linear Models and Kernel Methods JMLR 2003
The em Algorithm for Kernel Matrix Completion with Auxiliary Data JMLR 2003
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning JMLR 2003
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis JMLR 2003
Learning Probabilistic Models: An Expected Utility Maximization Approach JMLR 2003
Smooth Boosting and Learning with Malicious Noise JMLR 2003
Speedup Learning for Repair-based Search by Identifying Redundant Steps JMLR 2003
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity JMLR 2003
On the Rate of Convergence of Regularized Boosting Classifiers JMLR 2003
An Efficient Boosting Algorithm for Combining Preferences JMLR 2003
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation JMLR 2003
Blind Source Recovery: A Framework in the State Space JMLR 2003
Learning Rates for Q-learning JMLR 2003
Text Chunking based on a Generalization of Winnow JMLR 2002