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Anomaly and Novelty detection for robust semi-supervised learning |
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| Authors: | Cappozzo Andrea Greselin Francesca Murphy Thomas Brendan |
| Affiliation: | 1.Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy ;2.School of Mathematics & Statistics and Insight Research Centre, University College Dublin, Dublin, Ireland ; |
| Abstract: | Statistics and Computing - Three important issues are often encountered in Supervised and Semi-Supervised Classification: class memberships are unreliable for some training units (label noise), a... |
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