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Optimization

14,983 papers

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Papers

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
Minimal Kernel Classifiers JMLR 2002
On Boosting with Polynomially Bounded Distributions JMLR 2002
Optimal Structure Identification With Greedy Search JMLR 2002
A Robust Minimax Approach to Classification JMLR 2002
Efficient Algorithms for Decision Tree Cross-validation JMLR 2002
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling JMLR 2002
Learning to Construct Fast Signal Processing Implementations JMLR 2002
Policy Search using Paired Comparisons JMLR 2002
SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001
Lagrangian Support Vector Machines JMLR 2001