%0 Journal Article %1 reitmaier2016semi %A Reitmaier, Tobias %A Calma, Adrian %A Sick, Bernhard %D 2016 %J arXiv e-prints %K - Computer Learning Learning, Machine Science Statistics %P arXiv:1610.03995 %T Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data

@article{reitmaier2016semi, added-at = {2022-01-07T10:37:59.000+0100}, archiveprefix = {arXiv}, author = {{Reitmaier}, Tobias and {Calma}, Adrian and {Sick}, Bernhard}, biburl = {https://www.bibsonomy.org/bibtex/2b2ecd96b72f16f2cf1e13b28629c3b31/ies}, eid = {arXiv:1610.03995}, eprint = {1610.03995}, interhash = {e51cb8df1d7e8a03bbd08e7c09f8a95b}, intrahash = {b2ecd96b72f16f2cf1e13b28629c3b31}, journal = {arXiv e-prints}, keywords = {- Computer Learning Learning, Machine Science Statistics}, pages = {arXiv:1610.03995}, primaryclass = {stat.ML}, timestamp = {2022-01-07T10:37:59.000+0100}, title = {{Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data}}, year = 2016 }