"Dependability of Alternative Computing Paradigms for Machine Learning: ..."

Cristiana Bolchini et al. (2022)

> Home

Details and statistics

DOI: 10.1109/DDECS54261.2022.9770138

access: closed

type: Conference or Workshop Paper

metadata version: 2022-05-13

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ddecs/BolchiniBCDNMOV22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ddecs/BolchiniBCDNMOV22
Cristiana Bolchini, Alberto Bosio, Luca Cassano, Bastien Deveautour, Giorgio Di Natale, Antonio Miele, Ian O'Connor, Elena Ioana Vatajelu:
Dependability of Alternative Computing Paradigms for Machine Learning: hype or hope? DDECS 2022: 7-13

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.