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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
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
Lingda Wang, Huozhi Zhou 외 3명
arXiv (Cornell University)
|
2019
|
6 회 인용
Negatively Biased Relevant Subsets Induced by the Most-Powerful One-Sided Upper Confidence Limits for a Bounded Physical Parameter
R. Cousins
arXiv (Cornell University)
|
2011
|
6 회 인용
Networks: An Economic Perspective
Matthew O. Jackson, Brian W. Rogers 외 1명
arXiv (Cornell University)
|
2016
|
6 회 인용
Neural Contextual Bandits with Upper Confidence Bound-Based Exploration
Dongruo Zhou, Lihong Li 외 1명
arXiv (Cornell University)
|
2019
|
6 회 인용
Neural Network Models for Stock Selection Based on Fundamental Analysis
Yuxuan Huang, Luiz Fernando Capretz 외 1명
arXiv (Cornell University)
|
2019
|
6 회 인용
News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition
Xiao Liu, Heyan Huang 외 2명
arXiv (Cornell University)
|
2020
|
6 회 인용
Non-associative algebraic structures: classification and structure
Ivan Kaygorodov
arXiv (Cornell University)
|
2023
|
6 회 인용
Non-clairvoyant Scheduling Games
Johanne Cohen, Christoph Dürr 외 1명
arXiv (Cornell University)
|
2011
|
6 회 인용
Non-Stationary Bandit Learning via Predictive Sampling
Yueyang Liu, Kuang, Xu 외 1명
arXiv (Cornell University)
|
2022
|
6 회 인용
Non-stationary Bandits with Knapsacks
Shang Liu, Jiashuo Jiang 외 1명
arXiv (Cornell University)
|
2022
|
6 회 인용
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