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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
Prediction by Random-Walk Perturbation
Luc Devroye, Gábor Lugosi 외 1명
arXiv (Cornell University)
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2013
|
22 회 인용
Provably Efficient Q-Learning with Low Switching Cost
Yu Bai, Tengyang Xie 외 2명
arXiv (Cornell University)
|
2019
|
22 회 인용
Revealing systematics in phenomenologically viable flux vacua with reinforcement learning
Sven Krippendorf, Rene Kroepsch 외 1명
arXiv (Cornell University)
|
2021
|
22 회 인용
Statistical Uncertainty Analysis for Stochastic Simulation
Wei Xie, Nelson, Barry L. 외 1명
arXiv (Cornell University)
|
2020
|
22 회 인용
Stock trend prediction using news sentiment analysis
Joshi Kalyani, H. N. Bharathi 외 1명
arXiv (Cornell University)
|
2016
|
22 회 인용
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings
Jingyan Wang, Nihar B. Shah
arXiv (Cornell University)
|
2018
|
22 회 인용
A Comparison of Blocking Methods for Record Linkage
Rebecca C. Steorts, Samuel Ventura 외 2명
arXiv (Cornell University)
|
2014
|
21 회 인용
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
Omer Ben-Porat, Moshe Tennenholtz
arXiv (Cornell University)
|
2018
|
21 회 인용
A New Look at Shifting Regret
Nicolò Cesa‐Bianchi, Pierre Gaillard 외 2명
arXiv (Cornell University)
|
2012
|
21 회 인용
Adapting to Misspecification in Contextual Bandits
Dylan J. Foster, Claudio Gentile 외 2명
arXiv (Cornell University)
|
2021
|
21 회 인용
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