المؤلفون: Jason Rhuggenaath, Yingqian Zhang, Michiel Jurgen Hilgeman, Qing Chuan Ye, Sicco Verwer

المساهمون: Information Systems IE&IS, EAISI High Tech Systems, EAISI Foundational

المصدر: Annals of Mathematics and Artificial Intelligence, 89(7)
Annals of Mathematics and Artificial Intelligence, 89(7), 675-691. Springer
Pure TUe
Data Science Meets Optimisation

مصطلحات موضوعية: Design framework, TheoryofComputation_MISCELLANEOUS, Optimization, Operations research, Computer science, Applied Mathematics, TheoryofComputation_GENERAL, 02 engineering and technology, Construct (python library), Outcome (game theory), Data-driven, Auction design, Artificial Intelligence, Order (exchange), Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Common value auction, 020201 artificial intelligence & image processing

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f0276f6c57a56e0d21945eb0288c981
http://resolver.tudelft.nl/uuid:256325bb-f63c-4ca9-a3ce-f430bf83cb3b