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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
Citations Systematically Misrepresent the Quality and Impact of Research Articles: Survey and Experimental Evidence from Thousands of Citers
Misha Teplitskiy, Eamon Duede 외 2명
arXiv (Cornell University)
|
2020
|
9 회 인용
Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning
Arka Ghosh
arXiv (Cornell University)
|
2011
|
9 회 인용
Computer simulations in science and engineering - Concepts - Practices - Perspectives
Juan M. Durán
arXiv (Cornell University)
|
2019
|
9 회 인용
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
Matthieu Geist, Julien Pérolat 외 6명
arXiv (Cornell University)
|
2021
|
9 회 인용
Concentration of risk measures: A Wasserstein distance approach
L. A. Prashanth, Sanjay P. Bhat
arXiv (Cornell University)
|
2019
|
9 회 인용
Concurrent bandits and cognitive radio networks
Orly Avner, Shie Mannor
arXiv (Cornell University)
|
2014
|
9 회 인용
Conservative, Proportional and Optimistic Contextual Discounting in the Belief Functions Theory
Marek Kurdej, Véronique Cherfaoui
arXiv (Cornell University)
|
2013
|
9 회 인용
Constructions of $k$-uniform states from mixed orthogonal arrays
Fei Shi, Yi Shen 외 2명
arXiv (Cornell University)
|
2020
|
9 회 인용
Contextual Bandits with Global Constraints and Objective.
Shipra Agrawal, Nikhil R. Devanur 외 1명
arXiv (Cornell University)
|
2015
|
9 회 인용
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms
Dylan J. Foster, Akshay Krishnamurthy
arXiv (Cornell University)
|
2018
|
9 회 인용
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