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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
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions
Guosheng Hu, Yuxin Hu 외 9명
arXiv (Cornell University)
|
2017
|
4 회 인용
Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution
Rundong Wang, Hongxin Wei 외 3명
arXiv (Cornell University)
|
2020
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4 회 인용
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Huajian Xin, Daya Guo 외 7명
arXiv (Cornell University)
|
2024
|
4 회 인용
Democratizing Design for Future Computing Platforms
Luís Ceze, Mark D. Hill 외 2명
arXiv (Cornell University)
|
2017
|
4 회 인용
Denoising Diffusion Probabilistic Models in Six Simple Steps
Richard E. Turner, Cristiana-Diana Diaconu 외 4명
arXiv (Cornell University)
|
2024
|
4 회 인용
Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests
Matieyendou Lamboni, Bertrand Iooss 외 2명
arXiv (Cornell University)
|
2012
|
4 회 인용
Design and Optimization of Big Data and Machine Learning-Based Risk Monitoring System in Financial Markets
Liyang Wang, Yu Cheng 외 2명
arXiv (Cornell University)
|
2024
|
4 회 인용
Design and Performance Characterization of RADICAL-Pilot on Titan
André Merzky, Matteo Turilli 외 2명
arXiv (Cornell University)
|
2018
|
4 회 인용
Developing synthetic individual-level population datasets: The case of contextualizing maps of privacy-preserving census data
Yue Lin, Ningchuan Xiao
arXiv (Cornell University)
|
2022
|
4 회 인용
Digenes: genetic algorithms to discover conjectures about directed and undirected graphs
Romain Absil, Hadrien Mélot
arXiv (Cornell University)
|
2013
|
4 회 인용
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