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
An Integer Optimization Approach to Associative Classification
NeurIPS 2012
An Introduction to Artificial Prediction Markets for Classification
JMLR 2012
A Polylog Pivot Steps Simplex Algorithm for Classification
NeurIPS 2012
A Ranking-based KNN Approach for Multi-Label Classification
ACML 2012
A Simple Geometric Interpretation of SVM using Stochastic Adversaries
AISTATS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
AISTATS 2012
A systematic approach to extracting semantic information from functional MRI data
NeurIPS 2012
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics
NeurIPS 2012
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss
JMLR 2012
Automatic Feature Induction for Stagewise Collaborative Filtering
NeurIPS 2012
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button
NeurIPS 2012
Bayesian Classifier Combination
AISTATS 2012
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
AISTATS 2012
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets
JMLR 2012
Bayesian models for Large-scale Hierarchical Classification
NeurIPS 2012
Bounding the Probability of Error for High Precision Optical Character Recognition
JMLR 2012
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training
JMLR 2012
Classification Calibration Dimension for General Multiclass Losses
NeurIPS 2012
Classifier Cascade for Minimizing Feature Evaluation Cost
AISTATS 2012
Cocktail Party Processing via Structured Prediction
NeurIPS 2012
Coherence Functions with Applications in Large-Margin Classification Methods
JMLR 2012
Collaborative Ranking With 17 Parameters
NeurIPS 2012
Competitive Classification and Closeness Testing
COLT 2012
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
JMLR 2012
Conditional Validity of Inductive Conformal Predictors
ACML 2012