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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
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence
Yuzhu Wu, Zhen Zhang 외 6명
arXiv (Cornell University)
|
2020
|
6 회 인용
Distributed Online Convex Optimization with Improved Dynamic Regret
Yan Zhang, Robert Ravier 외 2명
arXiv (Cornell University)
|
2019
|
6 회 인용
Distributional Robust Batch Contextual Bandits.
Nian Si, Fan Zhang 외 2명
arXiv (Cornell University)
|
2020
|
6 회 인용
Distributionally Robust Bayesian Quadrature Optimization
Thanh Nguyen-Tang, Sunil Gupta 외 3명
arXiv (Cornell University)
|
2020
|
6 회 인용
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
Luis Oala, Manil Maskey 외 36명
TU/e Research Portal
|
2023
|
6 회 인용
Do interests affect grant application success? The role of organizational proximity
Charlie Mom, Peter van den Besselaar
arXiv (Cornell University)
|
2022
|
6 회 인용
Does the Web of Science Accurately Represent Chinese Scientific Performance?
Fei Shu, Charles‐Antoine Julien 외 1명
arXiv (Cornell University)
|
2018
|
6 회 인용
Doing Better Than UCT: Rational Monte Carlo Sampling in Trees
David Tolpin, Solomon Eyal Shimony
arXiv (Cornell University)
|
2011
|
6 회 인용
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
Ellen Novoseller, Yibing Wei 외 3명
arXiv (Cornell University)
|
2019
|
6 회 인용
Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
Zhimei Ren, Zhengyuan Zhou
arXiv (Cornell University)
|
2020
|
6 회 인용
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