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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
Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies
Thomas T. Liu, Stephen Roberts 외 1명
arXiv (Cornell University)
|
2023
|
5 회 인용
Deep Reinforcement Learning in Financial Markets
Souradeep Chakraborty
arXiv (Cornell University)
|
2019
|
5 회 인용
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination
Haoqiang Kang, Xiao-Yang Liu
arXiv (Cornell University)
|
2023
|
5 회 인용
Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions
Jiashuo Jiang, Will Ma 외 1명
arXiv (Cornell University)
|
2022
|
5 회 인용
Deployment Corrections: An incident response framework for frontier AI models
J.N. O'Brien, Shaun Ee 외 1명
arXiv (Cornell University)
|
2023
|
5 회 인용
Derivative-based global sensitivity measures and their link with Sobol sensitivity indices
Sergei Kucherenko, Shufang Song
arXiv (Cornell University)
|
2016
|
5 회 인용
Desiderata for next generation of ML model serving
Sherif Akoush, Andrei Paleyes 외 2명
arXiv (Cornell University)
|
2022
|
5 회 인용
Designing Optimal Binary Rating Systems
Nikhil Garg, Ramesh Johari
arXiv (Cornell University)
|
2018
|
5 회 인용
Desingularizing $b^m$-symplectic structures
Victor Guillemin, Eva Miranda 외 1명
QRU Quaderns de Recerca en Urbanisme
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2015
|
5 회 인용
Determining Maximal Reference Set in Data Envelopment Analysis
Israfil Roshdi, Ignace Van de Woestyne 외 1명
arXiv (Cornell University)
|
2014
|
5 회 인용
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