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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 Monte Carlo Study of Pairwise Comparisons
Michael W. Herman, Waldemar W. Koczkodaj
arXiv (Cornell University)
|
2015
|
9 회 인용
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising
Di Wu, Cheng Chen 외 5명
arXiv (Cornell University)
|
2018
|
9 회 인용
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes
Eric Mazumdar, Roy Dong 외 3명
arXiv (Cornell University)
|
2017
|
9 회 인용
A multi-dimensional framework for characterizing the citation impact of scientific publications
Yi Bu, Ludo Waltman 외 1명
arXiv (Cornell University)
|
2019
|
9 회 인용
A review of the literature on citation impact indicators
Ludo Waltman
arXiv (Cornell University)
|
2015
|
9 회 인용
A Scalable Algorithm for Two-Stage Adaptive Linear Optimization
Dimitris Bertsimas, Shimrit Shtern
arXiv (Cornell University)
|
2018
|
9 회 인용
A Sentiment Analysis Approach to the Prediction of Market Volatility
Justina Deveikyte, Hélyette Geman 외 2명
arXiv (Cornell University)
|
2020
|
9 회 인용
A Sigmoidal Approximation for Chance-Constrained Nonlinear Programs
Yankai Cao, Víctor M. Zavala
arXiv (Cornell University)
|
2020
|
9 회 인용
A Stackelberg strategy for routing flow over time
Umang Bhaskar, Lisa Fleischer 외 1명
arXiv (Cornell University)
|
2011
|
9 회 인용
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
Fernando Llorente, Luca Martino 외 2명
arXiv (Cornell University)
|
2021
|
9 회 인용
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