"An Information-Theoretic Perspective on Overfitting and Underfitting."

Daniel Bashir et al. (2020)

> Home

Details and statistics

DOI: 10.1007/978-3-030-64984-5_27

access: closed

type: Conference or Workshop Paper

metadata version: 2020-11-27

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ausai/BashirMSSL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ausai/BashirMSSL20
Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw:
An Information-Theoretic Perspective on Overfitting and Underfitting. Australasian Conference on Artificial Intelligence 2020: 347-358

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.