Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Quantifying aleatoric and epistemic uncertainty in machine learning: Are ..."

Lisa Wimmer et al. (2023)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2023-08-28

- view
  - electronic edition @ mlr.press (open access)
- export record
  dblp key:
  - conf/uai/WimmerSHBH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/uai/WimmerSHBH23
Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier:
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? UAI 2023: 2282-2292

a service of

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.