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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
Probabilistic Bayesian optimal experimental design using conditional normalizing flows
Rafael Orozco, Felix J. Herrmann 외 1명
arXiv (Cornell University)
|
2024
|
5 회 인용
Probabilistic Error Analysis for Inner Products
Ilse C. F. Ipsen, Hua Zhou
arXiv (Cornell University)
|
2019
|
5 회 인용
Probabilistic Threshold Indexing for Uncertain Strings
Sharma V. Thankachan, Manish Patil 외 2명
arXiv (Cornell University)
|
2015
|
5 회 인용
Probability and Non-Probability Samples: Improving Regression Modeling by Using Data from Different Sources
Gerhard Tutz
arXiv (Cornell University)
|
2022
|
5 회 인용
Process-Based Risk Measures and Risk-Averse Control of Discrete-Time Systems
Jingnan Fan, Andrzej Ruszczyński
arXiv (Cornell University)
|
2014
|
5 회 인용
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration
Robert Kleinberg, Kevin Leyton‐Brown 외 2명
arXiv (Cornell University)
|
2019
|
5 회 인용
Profit Maximizing Prior-free Multi-unit Procurement Auctions with Capacitated Sellers
Arupratan Ray, Debmalya Mandal 외 1명
arXiv (Cornell University)
|
2015
|
5 회 인용
Prolonged Learning and Hasty Stopping: the Wald Problem with Ambiguity
Sarah Auster, Yeon‐Koo Che 외 1명
arXiv (Cornell University)
|
2022
|
5 회 인용
PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching
Pengfei Wang, Xiaocan Zeng 외 5명
arXiv (Cornell University)
|
2022
|
5 회 인용
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
Kefan Dong, Jiaqi Yang 외 1명
arXiv (Cornell University)
|
2021
|
5 회 인용
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