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Supervised Learning

988 directly classified papers

Papers per year

Papers

A Library for Locally Weighted Projection Regression JMLR 2008
Linear Classification and Selective Sampling Under Low Noise Conditions NIPS 2008
Support Vector Machines with a Reject Option NIPS 2008
Privacy-preserving logistic regression NIPS 2008
Localized Sliced Inverse Regression NIPS 2008
Generative and Discriminative Learning with Unknown Labeling Bias NIPS 2008
Partially Observed Maximum Entropy Discrimination Markov Networks NIPS 2008
Fast Prediction on a Tree NIPS 2008
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NIPS 2008
On the Efficient Minimization of Classification Calibrated Surrogates NIPS 2008
Discriminative Log-Linear Grammars with Latent Variables NIPS 2007
One-Pass Boosting NIPS 2007
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007
Supervised Topic Models NIPS 2007
Hierarchical Penalization NIPS 2007
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis JMLR 2007
Learning Horn Expressions with LOGAN-H JMLR 2007
Integrating Naïve Bayes and FOIL JMLR 2007
Separating Models of Learning from Correlated and Uncorrelated Data JMLR 2007
An Analysis of Inference with the Universum NIPS 2007
Anytime Induction of Cost-sensitive Trees NIPS 2007
SpAM: Sparse Additive Models NIPS 2007
Structured Learning with Approximate Inference NIPS 2007
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NIPS 2007
A learning framework for nearest neighbor search NIPS 2007