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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
Aggregating strategies for long-term forecasting.
Alexander Korotin, Vladimir V. V’yugin 외 1명
arXiv (Cornell University)
|
2018
|
4 회 인용
AI for DevSecOps: A Landscape and Future Opportunities
Michael C. Fu, Jirat Pasuksmit 외 1명
arXiv (Cornell University)
|
2024
|
4 회 인용
AI for the Generation and Testing of Ideas Towards an AI Supported Knowledge Development Environment
Ted Selker
arXiv (Cornell University)
|
2023
|
4 회 인용
Alaska: A Flexible Benchmark for Data Integration Tasks
Valter Crescenzi, Andrea De Angelis 외 5명
arXiv (Cornell University)
|
2021
|
4 회 인용
Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008
Michael W. Mahoney, Lek‐Heng Lim 외 1명
ArXiv.org
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2008
|
4 회 인용
Algorithms for Probabilistically-Constrained Models of Risk-Averse Stochastic Optimization with Black-Box Distributions
Chaitanya Swamy
ArXiv.org
|
2008
|
4 회 인용
Allocation d'actifs selon le crit\\`ere de maximisation des fonds propres \\'economiques en assurance non-vie
Frédéric Planchet, Thérond, Pierre-Emanuel
arXiv (Cornell University)
|
2010
|
4 회 인용
Ambiguity set and learning via Bregman and Wasserstein
Xin Guo, Johnny Hong 외 1명
arXiv (Cornell University)
|
2017
|
4 회 인용
An adaptive stochastic optimization algorithm for resource allocation
Xavier Fontaine, Shie Mannor 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
An Algebraic Framework for Structured Epidemic Modeling
Sophie Libkind, Andrew Baas 외 3명
arXiv (Cornell University)
|
2022
|
4 회 인용
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