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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 Learning in Multiple Multistep Time Series Prediction
Chuanyun Zang
arXiv (Cornell University)
|
2017
|
6 회 인용
Deep Neural Networks in High Frequency Trading
Prakhar Ganesh, Puneet Rakheja
arXiv (Cornell University)
|
2018
|
6 회 인용
Deep Reinforcement Learning for Active High Frequency Trading
Antonio Briola, Jeremy Turiel 외 3명
arXiv (Cornell University)
|
2021
|
6 회 인용
Delegative Reinforcement Learning: learning to avoid traps with a little help
Vanessa Kosoy
arXiv (Cornell University)
|
2019
|
6 회 인용
Designing Traceability into Big Data Systems
Richard McClatchey, Andrew Branson 외 3명
arXiv (Cornell University)
|
2015
|
6 회 인용
Developing a functional prototype master patient index (MPI) for interoperability of e-health systems in Sri Lanka
W. G. P. T. Jayathissa, Vajira H. W. Dissanayake 외 1명
arXiv (Cornell University)
|
2018
|
6 회 인용
Differentiable Meta-Learning in Contextual Bandits.
Branislav Kveton, Martin Mladenov 외 4명
arXiv (Cornell University)
|
2020
|
6 회 인용
Disciplinary Variations in Altmetric Coverage of Scholarly Articles
Sumit Kumar Banshal, Vivek Kumar Singh 외 2명
arXiv (Cornell University)
|
2019
|
6 회 인용
Discrete Event Simulation: It's Easy with SimPy!
Dmitry Zinoviev
arXiv (Cornell University)
|
2024
|
6 회 인용
Distributed Distributionally Robust Optimization with Non-Convex Objectives
Yang Jiao, Kai Yang 외 1명
arXiv (Cornell University)
|
2022
|
6 회 인용
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