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Classification

15,805 papers

Papers per year

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Papers

Learning to Locate Relative Outliers ACML 2011
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011
Support Vector Machines Under Adversarial Label Noise ACML 2011
Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011
Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information ACML 2011
Multi-label Classification with Error-correcting Codes ACML 2011
Multi-label Active Learning with Auxiliary Learner ACML 2011
Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011
Summarization of Yes/No Questions Using a Feature Function Model ACML 2011
Linear-Time Estimators for Propensity Scores AISTATS 2011
Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011
Deep Learning for Efficient Discriminative Parsing AISTATS 2011
Learning from positive and unlabeled examples by enforcing statistical significance AISTATS 2011
Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011
Group Orthogonal Matching Pursuit for Logistic Regression AISTATS 2011
Hidden-Unit Conditional Random Fields AISTATS 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011
Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011
Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening AISTATS 2011
Active Boosted Learning (ActBoost) AISTATS 2011
Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011
Efficient variable selection in support vector machines via the alternating direction method of multipliers AISTATS 2011
Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Sample Complexity Bounds for Differentially Private Learning COLT 2011