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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
A Note on k-support Norm Regularized Risk Minimization
Matthew B. Blaschko
arXiv (Cornell University)
|
2013
|
4 회 인용
A Note on the Power of Truthful Approximation Mechanisms
Shahar Dobzinski
ArXiv.org
|
2009
|
4 회 인용
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks
Jie Zou, Jiashu Lou 외 2명
arXiv (Cornell University)
|
2022
|
4 회 인용
A Novel Distributed Representation of News (DRNews) for Stock Market Predictions
Ye Ma, Lu Zong 외 1명
arXiv (Cornell University)
|
2020
|
4 회 인용
A novel multi-stage multi-scenario multi-objective optimisation framework for adaptive robust decision-making under deep uncertainty
Babooshka Shavazipour, Theodor J. Stewart
arXiv (Cornell University)
|
2023
|
4 회 인용
A Parametric Worst-Case Approach to Fairness in TU-Cooperative Games
Cosmin Bonchiş, Gabriel Istrate
arXiv (Cornell University)
|
2012
|
4 회 인용
A Practical Bandit Method with Advantages in Neural Network Tuning.
Tianyu Wang, Dawei Geng 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
A Practical Guide of Off-Policy Evaluation for Bandit Problems
Masahiro Kato, Kenshi Abe 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
A Pre-trained Data Deduplication Model based on Active Learning
Shi, Haochen, Xinyao Liu 외 5명
arXiv (Cornell University)
|
2023
|
4 회 인용
A Semidefinite Approach to Information Design in Non-atomic Routing Games.
Yixian Zhu, Ketan Savla
arXiv (Cornell University)
|
2020
|
4 회 인용
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