HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
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Abstract
Given a combinatorial optimisation problem, there are typically multiple ways of modelling it for presentation to an automated solver. Choosing the right combination of model and target solver can have a significant impact on the effectiveness of the solving process. The best combination of model and solver can also be instance-dependent: there may not exist a single combination that works best for all instances of the same problem. We consider the task of building machine learning models to automatically select the best combination for a problem instance. Critical to the learning process is to define instance features, which serve as input to the selection model. Our contribution is the automatic learning of…
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17,293
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- References
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Authors
4- YLYinhan LiuCorresponding
- MOMyle Ott
- ARArora, Ravneet
- JDJingfei Du
Topics & keywords
Topics
Keywords
- Hyperparameter
- Computer science
- Replication (statistics)
- Code (set theory)
- Key (lock)
- Language model
- Artificial intelligence
- Machine learning
No related works found for this paper.
Funding
- NSNational Science FoundationAward: 1122374
- UOUniversity of Pennsylvania
- MFMirowski Family Foundation
- NINational Institutes of HealthAwards: P50-MH106933, MH106933, T15LM007092, U54-HG007963, K23NS121520
- OOOffice of Naval ResearchAwards: N00014-19-1-2620, N00014
- NINational Institute of Mental HealthAward: P50-MH106933
- NHNational Human Genome Research InstituteAward: U54-HG007963