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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
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
Mathieu Laurière, Sarah Perrin 외 9명
arXiv (Cornell University)
|
2022
|
13 회 인용
Science cited in policy documents: Evidence from the Overton database
Zhichao Fang, Jonathan Dudek 외 2명
arXiv (Cornell University)
|
2024
|
13 회 인용
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series
Sercan Ö. Arık, Nathanael C. Yoder 외 1명
arXiv (Cornell University)
|
2022
|
13 회 인용
Semiparametric Contextual Bandits
Akshay Krishnamurthy, Zhiwei Steven Wu 외 1명
arXiv (Cornell University)
|
2018
|
13 회 인용
Sentiment Analysis of Twitter Data for Predicting Stock Market Movements
Venkata Sasank Pagolu, Kamal Nayan Reddy Challa 외 2명
arXiv (Cornell University)
|
2016
|
13 회 인용
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning
Abhishek Nan, Anandh Perumal 외 1명
arXiv (Cornell University)
|
2020
|
13 회 인용
Smarandache semirings, semifields and semivector spaces
W. B. Vasantha Kandasamy
ArXiv.org
|
2003
|
13 회 인용
Software publications with rich metadata: state of the art, automated workflows and HERMES concept
Stephan Druskat, Oliver Bertuch 외 3명
arXiv (Cornell University)
|
2022
|
13 회 인용
Solution of the Decision Making Problems using Fuzzy Soft Relations
Arindam Chaudhuri, Kajal De 외 1명
arXiv (Cornell University)
|
2013
|
13 회 인용
Special, conjugate and complete scale functions for spectrally negative Lévy processes
Andreas E. Kyprianou, Ví ctor Rivero
ArXiv.org
|
2007
|
13 회 인용
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