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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
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback
Ohad Shamir
arXiv (Cornell University)
|
2015
|
23 회 인용
Asymmetric Systematic Errors
R. J. Barlow
ArXiv.org
|
2003
|
23 회 인용
Deep Learning for Predicting Asset Returns
Guanhao Feng, Jingyu He 외 1명
arXiv (Cornell University)
|
2018
|
23 회 인용
Deep Reinforcement Learning in Portfolio Management
Zhipeng Liang, Kangkang Jiang 외 3명
arXiv (Cornell University)
|
2018
|
23 회 인용
Difficult Lessons on Social Prediction from Wisconsin Public Schools
Juan C. Perdomo, Tolani Britton 외 2명
arXiv (Cornell University)
|
2023
|
23 회 인용
Financial Time Series Forecasting using CNN and Transformer
Zhen Zeng, Rachneet Kaur 외 4명
arXiv (Cornell University)
|
2023
|
23 회 인용
Fine-tuning and Utilization Methods of Domain-specific LLMs
C. Jeong
arXiv (Cornell University)
|
2024
|
23 회 인용
Gamification of Pure Exploration for Linear Bandits
Rémy Degenne, Pierre Ménard 외 2명
arXiv (Cornell University)
|
2020
|
23 회 인용
Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures
Stefan Feuerriegel, Ralph Fehrer
arXiv (Cornell University)
|
2015
|
23 회 인용
Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks
Aya Abdelsalam Ismail, Timothy Wood 외 1명
arXiv (Cornell University)
|
2018
|
23 회 인용
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