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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
5,741개의 결과
Modeling Chaotic Behavior of Stock Indices Using Intelligent Paradigms
Ajith Abraham, Ninan Sajith Philip 외 1명
ArXiv.org
|
2004
|
64 회 인용
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization
Dan Garber, Elad Hazan
arXiv (Cornell University)
|
2013
|
63 회 인용
AIFS -- ECMWF's data-driven forecasting system
Simon Lang, Mihai Alexe 외 14명
arXiv (Cornell University)
|
2024
|
63 회 인용
Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction
Hengjian Jia
arXiv (Cornell University)
|
2016
|
63 회 인용
Minimax regret based elicitation of generalized additive utilities
Darius Braziunas, Craig Boutilier
arXiv (Cornell University)
|
2012
|
63 회 인용
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization
P. L. Yu, Joon Sern Lee 외 3명
arXiv (Cornell University)
|
2019
|
63 회 인용
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen, Shuang Li 외 4명
arXiv (Cornell University)
|
2018
|
62 회 인용
Lipschitz Bandits: Regret Lower Bounds and Optimal Algorithms
Stefan Magureanu, Richard Combes 외 1명
arXiv (Cornell University)
|
2014
|
62 회 인용
Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits
Yingkai Li, Yining Wang 외 1명
arXiv (Cornell University)
|
2019
|
62 회 인용
NEUTROSOPHIC SET – A GENERALIZATION OF THE INTUITIONISTIC FUZZY SET
Florentín Smarandache
arXiv (Cornell University)
|
2004
|
62 회 인용
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