The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models

Benjamin Kap, Marharyta Aleksandrova, Thomas Engel 0001. The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models. In Luis A. Leiva, Cédric Pruski, Réka Markovich, Amro Najjar, Christoph Schommer, editors, Artificial Intelligence and Machine Learning - 33rd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2021, Esch-sur-Alzette, Luxembourg, November 10-12, 2021, Revised Selected Papers. Volume 1530 of Communications in Computer and Information Science, pages 120-140, Springer, 2021. [doi]

@inproceedings{KapA021,
  title = {The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models},
  author = {Benjamin Kap and Marharyta Aleksandrova and Thomas Engel 0001},
  year = {2021},
  doi = {10.1007/978-3-030-93842-0_7},
  url = {https://doi.org/10.1007/978-3-030-93842-0_7},
  researchr = {https://researchr.org/publication/KapA021},
  cites = {0},
  citedby = {0},
  pages = {120-140},
  booktitle = {Artificial Intelligence and Machine Learning - 33rd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2021, Esch-sur-Alzette, Luxembourg, November 10-12, 2021, Revised Selected Papers},
  editor = {Luis A. Leiva and Cédric Pruski and Réka Markovich and Amro Najjar and Christoph Schommer},
  volume = {1530},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-93842-0},
}