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Asymptotically optimal sampling policy for selecting top-m alternatives
Zhang, Gongbo; Peng, Yijie; Zhang, Jianghua; Zhou, Enlu - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 6, pp. 1261-1285
Persistent link: https://www.econbiz.de/10014471465
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A Bayesian semisupervised approach to keyword extraction with only positive and unlabeled data
Wang, Guanshen; Cheng, Yichen; Xia, Yusen; Ling, Qiang; … - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 3, pp. 675-691
Persistent link: https://www.econbiz.de/10014328019
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Dynamic sampling allocation under finite simulation budget for feasibility determination
Shi, Zhongshun; Peng, Yijie; Shi, Leyuan; Chen, Chun-hung; … - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 1, pp. 557-568
Persistent link: https://www.econbiz.de/10013361307
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Posterior-based stopping rules for Bayesian ranking-and-selection procedures
Eckman, David J.; Henderson, Shane G. - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 3, pp. 1711-1728
Persistent link: https://www.econbiz.de/10013361835