Papers
4,122 papers found
Efficient SVM Training Using Low-Rank Kernel Representations
Shai Fine, Katya Scheinberg
Exact Simplification of Support Vector Solutions
Tom Downs, Kevin E. Gates, Annette Masters
Graph-Based Hierarchical Conceptual Clustering
Istvan Jonyer, Diane J. Cook, Lawrence B. Holder
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space
Roman Rosipal, Leonard J. Trejo
Lagrangian Support Vector Machines
O. L. Mangasarian, David R. Musicant
One-Class SVMs for Document Classification
Larry M. Manevitz, Malik Yousef
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
Koby Crammer, Yoram Singer
On the Size of Convex Hulls of Small Sets
Shahar Mendelson
Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms
Robert E. Mahony, Robert C. Williamson
Regularized Principal Manifolds
Alexander J. Smola, Sebastian Mika, Bernhard Schölkopf et al.
Sparse Bayesian Learning and the Relevance Vector Machine
Michael E. Tipping
Support Vector Clustering
Asa Ben-Hur, David Horn, Hava T. Siegelmann et al.
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