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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
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control
Jasin Machkour, Michael Muma 외 1명
TUbilio (Technical University of Darmstadt)
|
2021
|
5 회 인용
The Theory of Uncertainty for Derived Results: Properties of Equations Representing Physicochemical Evaluation Systems
B. P. Datta
arXiv (Cornell University)
|
2007
|
5 회 인용
The Three Pillars of Machine Programming
Justin Gottschlich, Armando Solar-Lezama 외 7명
arXiv (Cornell University)
|
2018
|
5 회 인용
The True Sample Complexity of Identifying Good Arms
Julian Katz-Samuels, Kevin Jamieson
arXiv (Cornell University)
|
2019
|
5 회 인용
The VCG Mechanism for Bayesian Scheduling
Yiannis Giannakopoulos, Maria Kyropoulou
Open Access at Essex (University of Essex)
|
2015
|
5 회 인용
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana, Michael T. McCabe 외 25명
arXiv (Cornell University)
|
2024
|
5 회 인용
Theoretical Limits of Record Linkage and Microclustering
James E. Johndrow, Kristian Lum 외 1명
arXiv (Cornell University)
|
2017
|
5 회 인용
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints
Zhiming Huang, Yifan Xu 외 3명
arXiv (Cornell University)
|
2020
|
5 회 인용
Thresholded Lasso Bandit
Kaito Ariu, Kenshi Abe 외 1명
arXiv (Cornell University)
|
2020
|
5 회 인용
Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems.
Thomas Nédelec, Marc Abeille 외 4명
arXiv (Cornell University)
|
2018
|
5 회 인용
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