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15289 directly classified papers

Papers per year

Papers

An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data JMLR 2010
Agnostic Active Learning Without Constraints NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010
Ellipsoidal Support Vector Machines ACML 2010
Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch NIPS 2010
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NIPS 2010
A Reduction from Apprenticeship Learning to Classification NIPS 2010
Active Learning by Querying Informative and Representative Examples NIPS 2010
Worst-Case Linear Discriminant Analysis NIPS 2010
(RF)^2 -- Random Forest Random Field NIPS 2010
A Novel Kernel for Learning a Neuron Model from Spike Train Data NIPS 2010
Universal Consistency of Multi-Class Support Vector Classification NIPS 2010
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010
A Streaming Parallel Decision Tree Algorithm JMLR 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010
Efficient Relational Learning with Hidden Variable Detection NIPS 2010
Multitask Learning without Label Correspondences NIPS 2010
Trading off Mistakes and Don't-Know Predictions NIPS 2010
Model-based Boosting 2.0 JMLR 2010
Tight Sample Complexity of Large-Margin Learning NIPS 2010
Active Estimation of F-Measures NIPS 2010