"Informed Machine Learning - A Taxonomy and Survey of Integrating Prior ..."

Laura von Rüden et al. (2023)

> Home

Details and statistics

DOI: 10.1109/TKDE.2021.3079836

access: open

type: Journal Article

metadata version: 2023-08-28

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/tkde/RudenMBGGHKPPRW23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tkde/RudenMBGGHKPPRW23
Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker:
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 35(1): 614-633 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.