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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
Generalized Linear Weights for Sharing Credits Among Multiple Authors
Ash Mohammad Abbas
arXiv (Cornell University)
|
2010
|
6 회 인용
Global Sensitivity Analysis of Stochastic Computer Models with Generalized Additive Models
Bertrand Iooss, Mathieu Ribatet 외 1명
arXiv (Cornell University)
|
2007
|
6 회 인용
Goodness-of-fit testing based on a weighted bootstrap: A fast large-sample alternative to the parametric bootstrap
Ivan Kojadinovic, Jun Yan
arXiv (Cornell University)
|
2012
|
6 회 인용
Gradient-free Online Learning in Games with Delayed Rewards
Amélie Héliou, Panayotis Mertikopoulos 외 1명
arXiv (Cornell University)
|
2020
|
6 회 인용
Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data
Qinkai Chen, Christian-Yann Robert
arXiv (Cornell University)
|
2021
|
6 회 인용
Graph Coalition Structure Generation
Thomas Voice, Maria Polukarov 외 1명
arXiv (Cornell University)
|
2011
|
6 회 인용
GraphCNNpred: A stock market indices prediction using a Graph based deep learning system
Yuhui Jin
arXiv (Cornell University)
|
2024
|
6 회 인용
Greed is Good: Optimistic Algorithms for Bipartite-Graph Partial Coloring on Multicore Architectures
Mustafa Kemal Taş, Kamer Kaya 외 1명
arXiv (Cornell University)
|
2017
|
6 회 인용
Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning
Jérémi Assael, Thibaut Heurtebize 외 2명
arXiv (Cornell University)
|
2022
|
6 회 인용
H Index of scientific Nursing journals according to Google Scholar Metrics (2007-2011)
Liliana Marcela Reina Leal, Rafael Repiso 외 1명
arXiv (Cornell University)
|
2013
|
6 회 인용
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