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Evolutionary Multi-Task Optimization: Foundations and Metho..
Machine Learning: Foundations, Methodologies, and Applications
Feng, Liang
;
Gupta, Abhishek
;
Tan, Kay Chen
. - 1st ed. 2023 . , 2023
Link:
https://doi.org/10.1007/978-981-19-5650-8
RT T1
Evolutionary Multi-Task Optimization: Foundations and Methodologies
UL https://suche.suub.uni-bremen.de/peid=springer-978-981-19-5650-8&Exemplar=1&LAN=DE A1 Feng, Liang A1 Gupta, Abhishek A1 Tan, Kay Chen A1 Ong, Yew Soon NO 1st ed. 2023 PB Springer Nature Singapore YR 2023 NO 1 Online-Ressource (219 S.) T3 Machine Learning: Foundations, Methodologies, and Applications SN 9789811956508 SN 9789811956492 SN 9789811956515 SN 9789811956522 K1 Artificial intelligence K1 Machine learning K1 Mathematical optimization K1 Computational intelligence K1 Artificial Intelligence K1 Machine Learning K1 Optimization K1 Computational Intelligence LK http://dx.doi.org/https://doi.org/10.1007/978-981-19-5650-8 DO https://doi.org/10.1007/978-981-19-5650-8 SF ELIB - SuUB Bremen
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