Improving Active Learning by Avoiding Ambiguous Samples

Christian Limberg, Heiko Wersing, Helge J. Ritter. Improving Active Learning by Avoiding Ambiguous Samples. In Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis, editors, Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I. Volume 11139 of Lecture Notes in Computer Science, pages 518-527, Springer, 2018. [doi]

@inproceedings{LimbergWR18-0,
  title = {Improving Active Learning by Avoiding Ambiguous Samples},
  author = {Christian Limberg and Heiko Wersing and Helge J. Ritter},
  year = {2018},
  doi = {10.1007/978-3-030-01418-6_51},
  url = {https://doi.org/10.1007/978-3-030-01418-6_51},
  researchr = {https://researchr.org/publication/LimbergWR18-0},
  cites = {0},
  citedby = {0},
  pages = {518-527},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I},
  editor = {Vera Kurková and Yannis Manolopoulos and Barbara Hammer and Lazaros S. Iliadis and Ilias Maglogiannis},
  volume = {11139},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-01418-6},
}