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논문 리뷰
Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,756개의 결과
Bandit algorithms: Letting go of logarithmic regret for statistical robustness
Kumar Ashutosh, Jayakrishnan Nair 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Bandit Models of Human Behavior: Reward Processing in Mental Disorders
Djallel Bouneffouf, Irina Rish 외 1명
arXiv (Cornell University)
|
2017
|
4 회 인용
Bandits with Delayed Anonymous Feedback.
Ciara Pike-Burke, Shipra Agrawal 외 2명
arXiv (Cornell University)
|
2017
|
4 회 인용
Bayes factor functions for reporting outcomes of hypothesis tests
Valen E. Johnson, Sandipan Pramanik 외 1명
arXiv (Cornell University)
|
2022
|
4 회 인용
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
Willie Neiswanger, Ke Alexander Wang 외 1명
arXiv (Cornell University)
|
2021
|
4 회 인용
Bayesian evidence for finite element model updating
L. Mthembu, Tshilidzi Marwala 외 2명
ArXiv.org
|
2008
|
4 회 인용
Bayesian Incentive Compatibility via Fractional Assignments
Xiaohui Bei, Zhiyi Huang
arXiv (Cornell University)
|
2010
|
4 회 인용
Bayesian Optimisation vs. Input Uncertainty Reduction
Juan Ungredda, Michael Pearce 외 1명
arXiv (Cornell University)
|
2020
|
4 회 인용
Beckmann's approach to multi-item multi-bidder auctions
А. И. Колесников, Fedor Sandomirskiy 외 2명
arXiv (Cornell University)
|
2022
|
4 회 인용
Behavioral Analytics for Myopic Agents
Yonatan Mintz, Anil Aswani 외 3명
arXiv (Cornell University)
|
2017
|
4 회 인용
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