"ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E."

Karel Chvalovský et al. (2019)

> Home

Details and statistics

DOI: 10.1007/978-3-030-29436-6_12

access: closed

type: Conference or Workshop Paper

metadata version: 2021-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cade/ChvalovskyJ0U19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cade/ChvalovskyJ0U19
Karel Chvalovský, Jan Jakubuv, Martin Suda, Josef Urban:
ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E. CADE 2019: 197-215

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.