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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
5,642개의 결과
Combinatorial Bandits Revisited
Richard Combes, Sadegh Talebi 외 2명
arXiv (Cornell University)
|
2015
|
114 회 인용
Adaptive Online Prediction by Following the Perturbed Leader
Marcus Hütter, Jan Poland
ArXiv.org
|
2005
|
113 회 인용
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Abubakar Abid, Ali Abdalla 외 4명
arXiv (Cornell University)
|
2019
|
113 회 인용
DataHub: Collaborative Data Science & Dataset Version Management at Scale
Anant Bhardwaj, Souvik Bhattacherjee 외 5명
arXiv (Cornell University)
|
2014
|
112 회 인용
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Raehyun Kim, Chan Ho So 외 4명
arXiv (Cornell University)
|
2019
|
111 회 인용
A sequential sampling strategy for extreme event statistics in nonlinear dynamical systems
Mustafa A. Mohamad, Themistoklis P. Sapsis
arXiv (Cornell University)
|
2018
|
110 회 인용
Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton, Csaba Szepesvári 외 2명
arXiv (Cornell University)
|
2015
|
110 회 인용
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala, Matthias Hein
arXiv (Cornell University)
|
2017
|
110 회 인용
NSML: Meet the MLaaS platform with a real-world case study
Hanjoo Kim, Minkyu Kim 외 10명
arXiv (Cornell University)
|
2018
|
109 회 인용
Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications
Bertrand Iooss, Clémentine Prieur
arXiv (Cornell University)
|
2017
|
108 회 인용
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