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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
Using Machine Learning to Predict the Evolution of Physics Research
Wenyuan Liu
arXiv (Cornell University)
|
2018
|
5 회 인용
Using Markov chains to determine expected propagation time for probabilistic zero forcing
Yu Chan, Emelie Curl 외 5명
arXiv (Cornell University)
|
2019
|
5 회 인용
Using text mining and machine learning for detection of child abuse
Chintan Amrit, Tim Paauw 외 2명
arXiv (Cornell University)
|
2016
|
5 회 인용
Validity of Basing Authors' Publication Strategy on Journal Impact Factors.
Staša Milojević, Filippo Radicchi 외 1명
arXiv (Cornell University)
|
2016
|
5 회 인용
Valuation of Zynga
Zalàn Forrò, Peter Cauwels 외 1명
arXiv (Cornell University)
|
2011
|
5 회 인용
Value of structural health information in partially observable stochastic environments
Charalampos Andriotis, Konstantinos G. Papakonstantinou 외 1명
arXiv (Cornell University)
|
2019
|
5 회 인용
Value of Targeting
Kshipra Bhawalkar, Patrick Hummel 외 1명
arXiv (Cornell University)
|
2014
|
5 회 인용
Variance Reduced Training with Stratified Sampling for Forecasting Models
Yucheng Lu, Youngsuk Park 외 4명
arXiv (Cornell University)
|
2021
|
5 회 인용
Variational Bayes for Merging Noisy Databases
Tamara Broderick, Rebecca C. Steorts
arXiv (Cornell University)
|
2014
|
5 회 인용
Volumetric Spanners: an Efficient Exploration Basis for Learning
Elad Hazan, Zohar Karnin 외 1명
arXiv (Cornell University)
|
2013
|
5 회 인용
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