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Classification

15,805 papers

Papers per year

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Papers

Learning large-margin halfspaces with more malicious noise NIPS 2011
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NIPS 2011
Infinite Latent SVM for Classification and Multi-task Learning NIPS 2011
Robust Lasso with missing and grossly corrupted observations NIPS 2011
Confidence Sets for Network Structure NIPS 2011
Greedy Model Averaging NIPS 2011
A Machine Learning Approach to Predict Chemical Reactions NIPS 2011
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NIPS 2011
Algorithms and hardness results for parallel large margin learning NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Iterative Learning for Reliable Crowdsourcing Systems NIPS 2011
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NIPS 2011
The Manifold Tangent Classifier NIPS 2011
Large-Scale Category Structure Aware Image Categorization NIPS 2011
Advice Refinement in Knowledge-Based SVMs NIPS 2011
Selective Prediction of Financial Trends with Hidden Markov Models NIPS 2011
A Convergence Analysis of Log-Linear Training NIPS 2011
Group Anomaly Detection using Flexible Genre Models NIPS 2011
Multiple Instance Learning on Structured Data NIPS 2011
Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NIPS 2011
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NIPS 2011
Submodular Multi-Label Learning NIPS 2011
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NIPS 2011
Nonlinear Online Classification Algorithm with Probability Margin ACML 2011