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15289 directly classified papers

Papers per year

Papers

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
Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Ranking annotators for crowdsourced labeling tasks NIPS 2011
Learning Anchor Planes for Classification NIPS 2011
Evaluating the inverse decision-making approach to preference learning NIPS 2011
Large-Scale Sparse Principal Component Analysis with Application to Text Data NIPS 2011
Maximum Margin Multi-Instance Learning NIPS 2011
Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011
Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011
Group Orthogonal Matching Pursuit for Logistic Regression AISTATS 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning 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
Bayesian Co-Training JMLR 2011
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood JMLR 2011
Multiclass Learnability and the ERM principle COLT 2011
On the Consistency of Multi-Label Learning COLT 2011
A Close Look to Margin Complexity and Related Parameters COLT 2011
The Rate of Convergence of Adaboost COLT 2011