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Optimization

14207 directly classified papers

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Papers

MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003
Learning Rates for Q-learning JMLR 2003
The em Algorithm for Kernel Matrix Completion with Auxiliary Data JMLR 2003
Use of the Zero-Norm with Linear Models and Kernel Methods 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
On the Rate of Convergence of Regularized Boosting Classifiers 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
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity JMLR 2003
Ultraconservative Online Algorithms for Multiclass Problems JMLR 2003
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002
A Robust Minimax Approach to Classification JMLR 2002
Text Chunking based on a Generalization of Winnow JMLR 2002
Minimal Kernel Classifiers JMLR 2002
On Boosting with Polynomially Bounded Distributions JMLR 2002
Efficient Algorithms for Decision Tree Cross-validation JMLR 2002
Optimal Structure Identification With Greedy Search JMLR 2002
Policy Search using Paired Comparisons JMLR 2002
Learning to Construct Fast Signal Processing Implementations JMLR 2002
Tracking the Best Linear Predictor JMLR 2001
Exact Simplification of Support Vector Solutions JMLR 2001
Lagrangian Support Vector Machines JMLR 2001