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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
Taylor approximation for chance constrained optimization problems governed by partial differential equations with high-dimensional random parameters
Peng Chen, Omar Ghattas
arXiv (Cornell University)
|
2020
|
4 회 인용
Temporal Variability in Implicit Online Learning
Nicolò Campolongo, Francesco Orabona
arXiv (Cornell University)
|
2020
|
4 회 인용
Testing and Confidence Intervals for High Dimensional Proportional Hazards Model
Ethan X. Fang, Ning Yang 외 1명
arXiv (Cornell University)
|
2014
|
4 회 인용
The Anatomy of Big Data Computing
Raghavendra Kune, Pramod Kumar Konugurthi 외 3명
arXiv (Cornell University)
|
2015
|
4 회 인용
The Behavior and Convergence of Local Bayesian Optimization
Kaiwen Wu, Kyurae Kim 외 2명
arXiv (Cornell University)
|
2023
|
4 회 인용
The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations
Julien Grand-Clément, Jean Pauphilet
arXiv (Cornell University)
|
2022
|
4 회 인용
The Beyond the Standard Model Working Group: Summary Report
G. Azuelos, G. Bélanger 외 27명
NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)
|
2002
|
4 회 인용
The Demise of Single-Authored Publications in Computer Science: A Citation Network Analysis
Brian K. Ryu
arXiv (Cornell University)
|
2020
|
4 회 인용
The e-value: A Fully Bayesian Significance Measure for Precise Statistical Hypotheses and its Research Program
Julio Michael Stern, Carlos Alberto de Bragança Pereira
arXiv (Cornell University)
|
2020
|
4 회 인용
The Effect of Autocorrelation on the Shewhart-RZ Control Chart
Huu Du Nguyen, Adel Ahmadi Nadi 외 4명
arXiv (Cornell University)
|
2021
|
4 회 인용
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