2k citations
- Ghent UniversityBE28 papers
- KU LeuvenBE27 papers
- University of AntwerpBE17 papers
- Universitat Politècnica de CatalunyaES4 papers
- Vrije Universiteit BrusselBE4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Ghent University HospitalBE3 papers
- Hasselt UniversityBE3 papers
- Politecnico di TorinoIT3 papers
- Sapienza University of RomeIT3 papers
- University College LondonGB3 papers
- University of AmsterdamNL3 papers
Showing 2014 · stat.MLShow all
2 papers · 2 filters
stat.ML2014★ 21 cited
Fast Prediction with SVM Models Containing RBF Kernels
Marc Claesen, Frank De Smet, Johan A. K. Suykens +1
We present an approximation scheme for support vector machine models that use an RBF kernel. A second-order Maclaurin series approximation is used for exponentials of inner product…
stat.ML2014★ 109 cited
A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models
Marc Claesen, Frank De Smet, Johan A. K. Suykens +1
We present a novel approach to learn binary classifiers when only positive and unlabeled instances are available (PU learning). This problem is routinely cast as a supervised task…