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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
De-anonymization of authors through arXiv submissions during double-blind review
Homanga Bharadhwaj, Dylan Turpin 외 2명
arXiv (Cornell University)
|
2020
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8 회 인용
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Adam Foster, Desi R. Ivanova 외 2명
arXiv (Cornell University)
|
2021
|
8 회 인용
Deep density networks and uncertainty in recommender systems
Yoel Zeldes, Stavros Theodorakis 외 4명
arXiv (Cornell University)
|
2017
|
8 회 인용
Deep Lake: a Lakehouse for Deep Learning
Sasun Hambardzumyan, Abhinav Tuli 외 9명
arXiv (Cornell University)
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2022
|
8 회 인용
Designing for Reproducibility: A Qualitative Study of Challenges and Opportunities in High Energy Physics
Sebastian S. Feger, Sünje Dallmeier-Tiessen 외 2명
arXiv (Cornell University)
|
2019
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8 회 인용
Designing Rewards for Fast Learning
Henry Sowerby, Zhiyuan Zhou 외 1명
arXiv (Cornell University)
|
2022
|
8 회 인용
Determination the Parameters of Markowitz Portfolio Optimization Model
Ertuğrul Bayraktar, Ayşe Hümeyra Bilge
arXiv (Cornell University)
|
2012
|
8 회 인용
Determining a priori a RANS model's applicable range via global epistemic uncertainty quantification
Xinyi Huang, Naman Jain 외 3명
arXiv (Cornell University)
|
2021
|
8 회 인용
Developing indicators on Open Access by combining evidence from diverse data sources
Thed N. van Leeuwen, Ingeborg Meijer 외 2명
arXiv (Cornell University)
|
2018
|
8 회 인용
Development of Non-sequential Ray-tracing Software for Cosmic-ray Telescopes
A. Okumura, M. Hayashida 외 3명
arXiv (Cornell University)
|
2011
|
8 회 인용
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