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15,803 papers

Papers per year

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Papers

On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NIPS 2009
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NIPS 2009
Multiple Incremental Decremental Learning of Support Vector Machines NIPS 2009
Conditional Neural Fields NIPS 2009
Boosting with Spatial Regularization NIPS 2009
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NIPS 2009
Efficient Bregman Range Search NIPS 2009
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs JMLR 2009
Using Local Dependencies within Batches to Improve Large Margin Classifiers JMLR 2009
Distance Metric Learning for Large Margin Nearest Neighbor Classification JMLR 2009
Analysis of Perceptron-Based Active Learning JMLR 2009
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining JMLR 2009
Particle Swarm Model Selection JMLR 2009
On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009
NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM JMLR 2009
On Efficient Large Margin Semisupervised Learning: Method and Theory JMLR 2009
Nieme: Large-Scale Energy-Based Models JMLR 2009
Similarity-based Classification: Concepts and Algorithms JMLR 2009
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization JMLR 2009
Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods JMLR 2009
Java-ML: A Machine Learning Library JMLR 2009
Nonextensive Information Theoretic Kernels on Measures JMLR 2009
Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009
Robust Process Discovery with Artificial Negative Events JMLR 2009
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination JMLR 2009