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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
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
Julian Katz-Samuels, Lalit Jain 외 2명
arXiv (Cornell University)
|
2020
|
20 회 인용
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting
S. Mukherjee, Devashish Shankar 외 5명
arXiv (Cornell University)
|
2018
|
20 회 인용
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting
Oleksandr Shchur, Caner Türkmen 외 5명
arXiv (Cornell University)
|
2023
|
20 회 인용
Cheap Bandits
Manjesh K. Hanawal, Venkatesh Saligrama 외 2명
arXiv (Cornell University)
|
2015
|
20 회 인용
Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach
Mazlina Abdul Majid, Uwe Aickelin 외 1명
arXiv (Cornell University)
|
2009
|
20 회 인용
Contextual Bandits under Delayed Feedback.
Claire Vernade, Alexandra Carpentier 외 3명
arXiv (Cornell University)
|
2018
|
20 회 인용
COVID-19 amplifies gender disparities in research
Goran Murić, Kristina Lerman 외 1명
arXiv (Cornell University)
|
2020
|
20 회 인용
Data management to support reproducible research
Brian A. Wandell, Ariel Rokem 외 3명
arXiv (Cornell University)
|
2015
|
20 회 인용
Efficient Regret Minimization in Non-Convex Games
Elad Hazan, Karan Singh 외 1명
arXiv (Cornell University)
|
2017
|
20 회 인용
Evaluation of research and evolution of science indicators
Loet Leydesdorff
ArXiv.org
|
2009
|
20 회 인용
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