Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework

Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer. Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework. In Alfredo Vellido, Karina Gibert, Cecilio Angulo, José David Martín-Guerrero, editors, Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019. Volume 976 of Advances in Intelligent Systems and Computing, pages 210-221, Springer, 2019. [doi]

@inproceedings{BiehlAGH19,
  title = {Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework},
  author = {Michael Biehl and Fthi Abadi and Christina Göpfert and Barbara Hammer},
  year = {2019},
  doi = {10.1007/978-3-030-19642-4_21},
  url = {https://doi.org/10.1007/978-3-030-19642-4_21},
  researchr = {https://researchr.org/publication/BiehlAGH19},
  cites = {0},
  citedby = {0},
  pages = {210-221},
  booktitle = {Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019},
  editor = {Alfredo Vellido and Karina Gibert and Cecilio Angulo and José David Martín-Guerrero},
  volume = {976},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-19642-4},
}