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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
Large Supports are required for Well-Supported Nash Equilibria
Yogesh Anbalagan, Hao Huang 외 4명
arXiv (Cornell University)
|
2015
|
7 회 인용
Lattice-valued Overlap and Quasi-Overlap Functions
Rui Paiva, Eduardo S. Palmeira 외 2명
arXiv (Cornell University)
|
2019
|
7 회 인용
Learning-based Robust Optimization: Procedures and Statistical Guarantees
L. Jeff Hong, Zhiyuan Huang 외 1명
arXiv (Cornell University)
|
2017
|
7 회 인용
Learning the distribution with largest mean: two bandit frameworks
Emilie Kaufmann, Aurélien Garivier
Springer Link (Chiba Institute of Technology)
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2017
|
7 회 인용
Learning to Act Greedily: Polymatroid Semi-Bandits
Branislav Kveton, Zheng Wen 외 2명
arXiv (Cornell University)
|
2014
|
7 회 인용
Limit theorems for additive c-free convolution
Jiun-Chau Wang
ArXiv.org
|
2008
|
7 회 인용
Linear interpolation gives better gradients than Gaussian smoothing in derivative-free optimization
Albert S. Berahas, Liyuan Cao 외 2명
arXiv (Cornell University)
|
2019
|
7 회 인용
Local Differential Privacy for Bayesian Optimization
Xingyu Zhou, Jian Tan
arXiv (Cornell University)
|
2020
|
7 회 인용
Lotka's Law and Pattern of Author Productivity in the Field of Brain Concussion Research: A Scientometric Analysis
S Roselin Jahina, M Sadik Batcha 외 1명
arXiv (Cornell University)
|
2021
|
7 회 인용
Machine learning and behavioral economics for personalized choice architecture
Emir Hrnjić, Nikodem Tomczak
arXiv (Cornell University)
|
2019
|
7 회 인용
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