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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
Major-Minor Mean Field Multi-Agent Reinforcement Learning
Kai Cui, Christian Fabián 외 2명
arXiv (Cornell University)
|
2023
|
3 회 인용
Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
Debjit Paul, Robert West 외 2명
arXiv (Cornell University)
|
2024
|
3 회 인용
Making statistical methods in management research more useful: some suggestions from a case study
Michael Wood
arXiv (Cornell University)
|
2009
|
3 회 인용
MambaTab: A Plug-and-Play Model for Learning Tabular Data
Md Atik Ahamed, Qiang Cheng
arXiv (Cornell University)
|
2024
|
3 회 인용
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck, Astrid Schomäcker 외 4명
arXiv (Cornell University)
|
2024
|
3 회 인용
Marcinkiewicz-Zygmund Strong Law of Large Numbers for Pairwise i.i.d. Random Variables
V. M. Korchevsky
arXiv (Cornell University)
|
2014
|
3 회 인용
Markov-Modulated Linear Regression
Alexander Andronov, Nadežda Spiridovska
arXiv (Cornell University)
|
2019
|
3 회 인용
Mars 2.0: A Toolchain for Modeling, Analysis, Verification and Code Generation of Cyber-Physical Systems
Bohua Zhan, Xiong Xu 외 5명
arXiv (Cornell University)
|
2024
|
3 회 인용
MarsCode Agent: AI-native Automated Bug Fixing
Yizhou Liu, Pengfei Gao 외 5명
arXiv (Cornell University)
|
2024
|
3 회 인용
Maturity of the Internet of Things Research Field: Or Why Choose Rigorous Keywords
Marta Vos
arXiv (Cornell University)
|
2016
|
3 회 인용
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