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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
AIXIjs: A Software Demo for General Reinforcement Learning
John Aslanides
arXiv (Cornell University)
|
2017
|
6 회 인용
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Han Shao, Xiaotian Yu 외 2명
arXiv (Cornell University)
|
2018
|
6 회 인용
Alpha Discovery Neural Network based on Prior Knowledge
Jie Fang, Shu‐Tao Xia 외 4명
arXiv (Cornell University)
|
2019
|
6 회 인용
An adaptive high-order piecewise polynomial based sparse grid collocation method with applications
Zhanjing Tao, Yan Jiang 외 1명
arXiv (Cornell University)
|
2019
|
6 회 인용
An Alternative Estimation Method of a Time-Varying Parameter Model
Mikio Ito, Akihiko Noda 외 1명
arXiv (Cornell University)
|
2017
|
6 회 인용
An Application of Neutrosophic Sets to Decision Making
Michael Gr. Voskoglou
arXiv (Cornell University)
|
2023
|
6 회 인용
An approximate KLD based experimental design for models with intractable likelihoods
Ziqiao Ao, Jinglai Li
arXiv (Cornell University)
|
2020
|
6 회 인용
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization
Yimin Huang, Yujun Li 외 3명
arXiv (Cornell University)
|
2020
|
6 회 인용
An exact and two heuristic strategies for truthful bidding in combinatorial transport auctions
Tobias Buer
arXiv (Cornell University)
|
2014
|
6 회 인용
An extension to GUM methodology: degrees-of-freedom calculations for correlated multidimensional estimates
Robin Willink, B. D. Hall
arXiv (Cornell University)
|
2013
|
6 회 인용
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