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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
Predicting the Stock Price of Frontier Markets Using Modified Black-Scholes Option Pricing Model and Machine Learning
Reaz A. Chowdhury, M. R. C. Mahdy 외 2명
arXiv (Cornell University)
|
2018
|
4 회 인용
Prediction under interventions: evaluation of counterfactual performance using longitudinal observational data
Ruth H. Keogh, Nan van Geloven
arXiv (Cornell University)
|
2023
|
4 회 인용
Prediction with Advice of Unknown Number of Experts
Alexey Chernov, Vladimir Vovk
arXiv (Cornell University)
|
2010
|
4 회 인용
Preference Completion from Partial Rankings
Suriya Gunasekar, Oluwasanmi Koyejo 외 1명
arXiv (Cornell University)
|
2016
|
4 회 인용
Preference Robust Ordinal Priority Approach with Preference Elicitation under Incomplete Information for Multi-Attribute Robust Ranking and Selection
Renlong Wang
arXiv (Cornell University)
|
2024
|
4 회 인용
Pricing Queries Approximately Optimally
Vasilis Syrgkanis, Johannes Gehrke
arXiv (Cornell University)
|
2015
|
4 회 인용
Privacy-Preserving Contextual Bandits.
Awni Hannun, Brian Knott 외 2명
arXiv (Cornell University)
|
2019
|
4 회 인용
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs
Andrea Zanette, Emma Brunskill
arXiv (Cornell University)
|
2019
|
4 회 인용
Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective
Tine Van Calster, Filip Van den Bossche 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Profitable Strategy Design for Trades on Cryptocurrency Markets with Machine Learning Techniques
Mohsen Asgari, Hossein Khasteh
arXiv (Cornell University)
|
2021
|
4 회 인용
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