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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 Axiomatic Approach to Routing
Omer Lev, Moshe Tennenholtz 외 1명
2016
|
4 회 인용
An efficient high-probability algorithm for Linear Bandits
Gábor Braun, Sebastian Pokutta
arXiv (Cornell University)
|
2016
|
4 회 인용
An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees
Michael L. Littman, Nishkam Ravi 외 2명
arXiv (Cornell University)
|
2012
|
4 회 인용
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry
Wenxin Jiang, Nicholas Synovic 외 6명
arXiv (Cornell University)
|
2023
|
4 회 인용
An Equivalence Between Private Classification and Online Prediction
Mark Bun, Roi Livni 외 1명
arXiv (Cornell University)
|
2020
|
4 회 인용
An Experiment with Hierarchical Bayesian Record Linkage
Michael Larsen
arXiv (Cornell University)
|
2012
|
4 회 인용
An Explorative Study of GitHub Repositories of AI Papers
Boyang Zhang
arXiv (Cornell University)
|
2019
|
4 회 인용
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance
Shweta Jain, Sujit Gujar 외 3명
arXiv (Cornell University)
|
2014
|
4 회 인용
An Optimal Algorithm for Linear Bandits
Nicolò Cesa‐Bianchi, Sham M. Kakade
arXiv (Cornell University)
|
2011
|
4 회 인용
An Optimal Algorithm for Multiplayer Multi-Armed Bandits
Alexandre Proutière, Po-An Wang
arXiv (Cornell University)
|
2019
|
4 회 인용
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