%0 Journal Article %1 haaseschuetz2020iterative %A Haase-Schütz, Christian %A Stal, Rainer %A Hertlein, Heinz %A Sick, Bernhard %D 2020 %J arXiv e-prints %K - Computer Learning Learning, Machine Pattern Recognition, Science Statistics Vision and %P arXiv:2002.02705 %T Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning

@article{haaseschuetz2020iterative, added-at = {2022-01-07T10:37:59.000+0100}, archiveprefix = {arXiv}, author = {{Haase-Sch{\"u}tz}, Christian and {Stal}, Rainer and {Hertlein}, Heinz and {Sick}, Bernhard}, biburl = {https://www.bibsonomy.org/bibtex/2d353a84a7d0d816c0f34e8b283e2623e/ies}, eid = {arXiv:2002.02705}, eprint = {2002.02705}, interhash = {2442af78e5246954224d6c471e5646e8}, intrahash = {d353a84a7d0d816c0f34e8b283e2623e}, journal = {arXiv e-prints}, keywords = {- Computer Learning Learning, Machine Pattern Recognition, Science Statistics Vision and}, pages = {arXiv:2002.02705}, primaryclass = {cs.LG}, timestamp = {2022-01-07T10:37:59.000+0100}, title = {{Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning}}, year = 2020 }