DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)· 2019· Preprint
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
- 17,374citations
- 2019year
Short summary
This paper introduces a novel method for automatically learning problem instance features directly from high-level representations using a transformer encoder, improving the selection of optimal model-solver combinations for combinatorial optimization.
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Artificial IntelligenceComputer Science