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Classification

1251 directly classified papers

Papers per year

Papers

Parametric Local Metric Learning for Nearest Neighbor Classification NIPS 2012
Volume Regularization for Binary Classification NIPS 2012
Consistency of Nearest Neighbor Classification under Selective Sampling COLT 2012
Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features JMLR 2012
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel JMLR 2012
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012
Confusion-Based Online Learning and a Passive-Aggressive Scheme NIPS 2012
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NIPS 2012
Discriminative Learning of Sum-Product Networks NIPS 2012
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NIPS 2012
Accuracy at the Top NIPS 2012
Max-Margin Min-Entropy Models AISTATS 2012
A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012
Reducing statistical time-series problems to binary classification NIPS 2012
A Linear Time Active Learning Algorithm for Link Classification NIPS 2012
A systematic approach to extracting semantic information from functional MRI data NIPS 2012
Searching for objects driven by context NIPS 2012
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Hope and Fear for Discriminative Training of Statistical Translation Models JMLR 2012
Learning from the Wisdom of Crowds by Minimax Entropy NIPS 2012
Multiclass Learning with Simplex Coding NIPS 2012
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NIPS 2012
Bayesian models for Large-scale Hierarchical Classification NIPS 2012
Perceptron Learning of SAT NIPS 2012