Papers
Support Vector Machine Active Learning with Applications to Text Classification
Simon Tong, Daphne Koller
SVMTorch: Support Vector Machines for Large-Scale Regression Problems
Ronan Collobert, Samy Bengio
Tracking the Best Linear Predictor
Mark Herbster, Manfred K. Warmuth
Uniform Object Generation for Optimizing One-class Classifiers
David M.J. Tax, Robert P.W. Duin
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization
David Heckerman, David Maxwell Chickering, Christopher Meek et al.
Learning Evaluation Functions to Improve Optimization by Local Search
Justin Boyan, Andrew W. Moore
Learning with Mixtures of Trees
Marina Meila, Michael I. Jordan
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
Erin L. Allwein, Robert E. Schapire, Yoram Singer