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An empirical study of branching heuristics through the lens of global learning rate

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Publication:1680251
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DOI10.1007/978-3-319-66263-3_8zbMath1496.68304OpenAlexW2745105271MaRDI QIDQ1680251

V. K. Hari Govind, Pascal Poupart, Krzysztof Czarnecki, Vijay Ganesh, Jia Hui Liang

Publication date: 15 November 2017

Full work available at URL: https://doi.org/10.1007/978-3-319-66263-3_8



Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)


Related Items

Nonexistence Certificates for Ovals in a Projective Plane of Order Ten ⋮ Complex Golay pairs up to length 28: a search via computer algebra and programmatic SAT ⋮ The SAT+CAS method for combinatorial search with applications to best matrices ⋮ Applying computer algebra systems with SAT solvers to the Williamson conjecture ⋮ Improved Cross-Validation for Classifiers that Make Algorithmic Choices to Minimise Runtime Without Compromising Output Correctness


Uses Software

  • MiniSat
  • Chaff
  • BerkMin
  • Plingeling
  • Glucose
  • StarExec
  • CryptoMiniSat
  • MapleSAT


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