Classification
15,497 papers
Papers per year
2
14
21
28
28
27
97
96
93
96
134
114
163
297
248
262
463
705
1,186
1,458
1,560
1,521
1,606
1,674
1,821
1,468
315
2000
'5
'10
'15
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'25
Papers
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
NeurIPS 2011
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
JMLR 2011
The Fast Convergence of Boosting
NeurIPS 2011
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
NeurIPS 2011
The Manifold Tangent Classifier
NeurIPS 2011
The Rate of Convergence of Adaboost
COLT 2011
Training SVMs Without Offset
JMLR 2011
Two-Layer Multiple Kernel Learning
AISTATS 2011
Unsupervised Supervised Learning II: Margin-Based Classification without Labels
AISTATS 2011
Variable Sparsity Kernel Learning
JMLR 2011
Variance Penalizing AdaBoost
NeurIPS 2011
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
ACML 2010
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification
JMLR 2010
Active Estimation of F-Measures
NeurIPS 2010
Active Learning Applied to Patient-Adaptive Heartbeat Classification
NeurIPS 2010
Active Learning by Querying Informative and Representative Examples
NeurIPS 2010
A Discriminative Latent Model of Image Region and Object Tag Correspondence
NeurIPS 2010
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression
JMLR 2010
Agnostic Active Learning Without Constraints
NeurIPS 2010
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data
JMLR 2010
A Novel Kernel for Learning a Neuron Model from Spike Train Data
NeurIPS 2010
A Potential-based Framework for Online Multi-class Learning with Partial Feedback
AISTATS 2010
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
JMLR 2010
A Reduction from Apprenticeship Learning to Classification
NeurIPS 2010
A Streaming Parallel Decision Tree Algorithm
JMLR 2010