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Supervised Learning

988 directly classified papers

Papers per year

Papers

The sample complexity of agnostic learning under deterministic labels COLT 2014
Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification ACML 2014
Optimizing F-Measures by Cost-Sensitive Classification NIPS 2014
Efficiency of conformalized ridge regression COLT 2014
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014
Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching CVPR 2014
Investigating Haze-relevant Features in A Learning Framework for Image Dehazing CVPR 2014
Sample-based approximate regularization ICML 2014
A Discriminative Latent Variable Model for Online Clustering ICML 2014
Beyond Disagreement-Based Agnostic Active Learning NIPS 2014
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014
Elementary Estimators for High-Dimensional Linear Regression ICML 2014
On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems COLT 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014
New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014
The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014
Distribution-independent Reliable Learning COLT 2014
Face Alignment at 3000 FPS via Regressing Local Binary Features CVPR 2014
Spectral Methods for Supervised Topic Models NIPS 2014
A Safe Screening Rule for Sparse Logistic Regression NIPS 2014
Loss-Proportional Subsampling for Subsequent ERM ICML 2013
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression ICML 2013
Robust Structural Metric Learning ICML 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013