Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization

Jakub Repický, Zbynek Pitra, Martin Holena. Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization. In Georg Krempl, Vincent Lemaire, Daniel Kottke, Adrian Calma, Andreas Holzinger, Robi Polikar, Bernhard Sick, editors, Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), Dublin, Ireland, September 10th, 2018. Volume 2192 of CEUR Workshop Proceedings, pages 80-84, CEUR-WS.org, 2018. [doi]

@inproceedings{RepickyPH18,
  title = {Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization},
  author = {Jakub Repický and Zbynek Pitra and Martin Holena},
  year = {2018},
  url = {http://ceur-ws.org/Vol-2192/ialatecml_paper7.pdf},
  researchr = {https://researchr.org/publication/RepickyPH18},
  cites = {0},
  citedby = {0},
  pages = {80-84},
  booktitle = {Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), Dublin, Ireland, September 10th, 2018},
  editor = {Georg Krempl and Vincent Lemaire and Daniel Kottke and Adrian Calma and Andreas Holzinger and Robi Polikar and Bernhard Sick},
  volume = {2192},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}