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Optimization

14207 directly classified papers

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Papers

Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005
Multiclass Classification with Multi-Prototype Support Vector Machines JMLR 2005
Efficient Margin Maximizing with Boosting JMLR 2005
Active Coevolutionary Learning of Deterministic Finite Automata JMLR 2005
Managing Diversity in Regression Ensembles JMLR 2005
Fast Kernel Classifiers with Online and Active Learning JMLR 2005
Learning the Kernel Function via Regularization JMLR 2005
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs JMLR 2005
Large Margin Methods for Structured and Interdependent Output Variables JMLR 2005
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection JMLR 2005
Working Set Selection Using Second Order Information for Training Support Vector Machines JMLR 2005
Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach JMLR 2005
Toward Optimal Configuration Space Sampling RSS 2005
Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005
Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005
Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition JMLR 2004
A Geometric Approach to Multi-Criterion Reinforcement Learning JMLR 2004
The Entire Regularization Path for the Support Vector Machine JMLR 2004
Learning the Kernel Matrix with Semidefinite Programming JMLR 2004
Some Properties of Regularized Kernel Methods JMLR 2004
Boosting as a Regularized Path to a Maximum Margin Classifier JMLR 2004
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning JMLR 2003
An Efficient Boosting Algorithm for Combining Preferences JMLR 2003
Extensions to Metric-Based Model Selection JMLR 2003