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15289 directly classified papers

Papers per year

Papers

Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination JMLR 2009
Robust Process Discovery with Artificial Negative Events JMLR 2009
Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization JMLR 2009
Similarity-based Classification: Concepts and Algorithms JMLR 2009
Nieme: Large-Scale Energy-Based Models JMLR 2009
On Efficient Large Margin Semisupervised Learning: Method and Theory JMLR 2009
On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009
Particle Swarm Model Selection JMLR 2009
Analysis of Perceptron-Based Active Learning JMLR 2009
Cautious Collective Classification JMLR 2009
Bounded Kernel-Based Online Learning JMLR 2009
Estimating Labels from Label Proportions JMLR 2009
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model JMLR 2009
Learning Approximate Sequential Patterns for Classification JMLR 2009
CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning JMLR 2009
Consistency of Random Forests and Other Averaging Classifiers JMLR 2008
Approximations for Binary Gaussian Process Classification JMLR 2008
Gradient Tree Boosting for Training Conditional Random Fields JMLR 2008
A Moment Bound for Multi-hinge Classifiers JMLR 2008
Probabilistic Characterization of Random Decision Trees JMLR 2008
SimpleMKL JMLR 2008
Stationary Features and Cat Detection JMLR 2008