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Supervised Learning

988 directly classified papers

Papers per year

Papers

Deceptive Opinion Spam Detection Using Neural Network COLING 2016
A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet COLING 2016
Supervised learning through the lens of compression NIPS 2016
Boosting for Efficient Model Selection for Syntactic Parsing COLING 2016
Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes JMLR 2016
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification PGM 2016
On Discriminative Framework for Single Channel Audio Source Separation INTERSPEECH 2016
Says Who…? Identification of Expert versus Layman Critics’ Reviews of Documentary Films COLING 2016
Learning to translate from graded and negative relevance information COLING 2016
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking CVPR 2016
A Feature Study for Masking-Based Reverberant Speech Separation INTERSPEECH 2016
Exemplar Dynamics in Phonetic Convergence of Speech Rate INTERSPEECH 2016
Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems INTERSPEECH 2016
Closed-Form Training of Mahalanobis Distance for Supervised Clustering CVPR 2016
fastFM: A Library for Factorization Machines JMLR 2016
Staple: Complementary Learners for Real-Time Tracking CVPR 2016
Dialog-based Language Learning NIPS 2016
Logistic Boosting Regression for Label Distribution Learning CVPR 2016
DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016
Estimation from Indirect Supervision with Linear Moments ICML 2016
Learning Fast-Mixing Models for Structured Prediction ICML 2015
From Dependency to Causality: A Machine Learning Approach JMLR 2015
Optimum Statistical Estimation with Strategic Data Sources COLT 2015
Self Scaled Regularized Robust Regression CVPR 2015
Rademacher Observations, Private Data, and Boosting ICML 2015