"Learning-Augmented Query Policies for Minimum Spanning Tree with Uncertainty."

Thomas Erlebach et al. (2022)

> Home

Details and statistics

DOI: 10.4230/LIPICS.ESA.2022.49

access: open

type: Conference or Workshop Paper

metadata version: 2022-09-26

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - conf/esa/ErlebachLMS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/esa/ErlebachLMS22
Thomas Erlebach, Murilo Santos de Lima, Nicole Megow, Jens Schlöter:
Learning-Augmented Query Policies for Minimum Spanning Tree with Uncertainty. ESA 2022: 49:1-49:18

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.