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Classification

15289 directly classified papers

Papers per year

Papers

Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
Robust Spatial Filtering with Beta Divergence NIPS 2013
Decision Jungles: Compact and Rich Models for Classification NIPS 2013
Reservoir Boosting : Between Online and Offline Ensemble Learning NIPS 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NIPS 2013
Auditing: Active Learning with Outcome-Dependent Query Costs NIPS 2013
Dropout Training as Adaptive Regularization NIPS 2013
Learning with Noisy Labels NIPS 2013
Deep Fisher Networks for Large-Scale Image Classification NIPS 2013
Conditional Random Fields via Univariate Exponential Families NIPS 2013
Perfect Associative Learning with Spike-Timing-Dependent Plasticity NIPS 2013
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NIPS 2013
Robust Bloom Filters for Large MultiLabel Classification Tasks NIPS 2013
Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions ACML 2013
Multiclass Latent Locally Linear Support Vector Machines ACML 2013
On multi-class classification through the minimization of the confusion matrix norm ACML 2013
Unconfused Ultraconservative Multiclass Algorithms ACML 2013
Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking ACML 2013
Multilabel Classification through Random Graph Ensembles ACML 2013
Improving Predictive Specificity of Description Logic Learners by Fortification ACML 2013
Locally-Linear Learning Machines (L3M) ACML 2013
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013
Supervised Sequential Classification Under Budget Constraints AISTATS 2013
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses COLT 2013
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013