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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
The Optimal Uncertainty Algorithm in the Mystic Framework
Mike McKerns, Houman Owhadi 외 3명
arXiv (Cornell University)
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2012
|
12 회 인용
To P or not to P: on the evidential nature of P-values and their place in scientific inference
Michael J. Lew
arXiv (Cornell University)
|
2013
|
12 회 인용
TopRank: A practical algorithm for online stochastic ranking
Tor Lattimore, Branislav Kveton 외 2명
arXiv (Cornell University)
|
2018
|
12 회 인용
Understanding Software Developers' Approach towards Implementing Data Minimization
Awanthika Senarath, Nalin Asanka Gamagedara Arachchilage
arXiv (Cornell University)
|
2018
|
12 회 인용
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
Shuang Qiu, Xiaohan Wei 외 3명
arXiv (Cornell University)
|
2020
|
12 회 인용
VisIt: Experiences with Sustainable Software
Sean Ahern, Eric Brugger 외 5명
arXiv (Cornell University)
|
2013
|
12 회 인용
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
Chicheng Zhang, Alekh Agarwal 외 3명
arXiv (Cornell University)
|
2019
|
12 회 인용
Wasserstein Distributionally Robust Optimization and Variation Regularization
Rui Gao, Xi Chen 외 1명
arXiv (Cornell University)
|
2017
|
12 회 인용
Weak Subgame Perfect Equilibria and their Application to Quantitative Reachability
Thomas Brihaye, Véronique Bruyère 외 2명
arXiv (Cornell University)
|
2015
|
12 회 인용
What drives the acceptance of AI technology?: the role of expectations and experiences
Minsang Yi, Hanbyul Choi
arXiv (Cornell University)
|
2023
|
12 회 인용
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