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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
Asymptotic Behavior of Bayesian Learners with Misspecified Models
Ignacio Esponda, Demián Pouzo 외 1명
arXiv (Cornell University)
|
2019
|
19 회 인용
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Zhuangwei Shi, Hu Yang 외 2명
arXiv (Cornell University)
|
2022
|
19 회 인용
Bayesian optimisation under uncertain inputs
Rafael Oliveira, Lionel Ott 외 1명
arXiv (Cornell University)
|
2019
|
19 회 인용
Bridging HPC Communities through the Julia Programming Language
Valentin Churavy, William F. Godoy 외 10명
arXiv (Cornell University)
|
2022
|
19 회 인용
CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails
Younghoo Lee, Joshua Saxe 외 1명
arXiv (Cornell University)
|
2020
|
19 회 인용
Competing Bandits: Learning under Competition
Yishay Mansour, Aleksandrs Slivkins 외 1명
arXiv (Cornell University)
|
2017
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19 회 인용
Corrupt Bandits for Preserving Local Privacy
Pratik Gajane, Tanguy Urvoy 외 1명
arXiv (Cornell University)
|
2017
|
19 회 인용
Exploration-Enhanced POLITEX
Yasin Abbasi-Yadkori, Nevena Lazic 외 2명
arXiv (Cornell University)
|
2019
|
19 회 인용
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin, Julien Pérolat 외 4명
arXiv (Cornell University)
|
2020
|
19 회 인용
Inference for Batched Bandits
Kelly Zhang, Lucas Janson 외 1명
PubMed
|
2020
|
19 회 인용
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