Skip to main content
Nubint
エージェント
リソース
料金プラン
会社概要
JA
Home
論文レビュー
Decision Sciences
Decision Sciences 論文レビュー
Decision Sciences 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
すべて
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
Filter
5,756 results
A Monte Carlo Study of Pairwise Comparisons
Michael W. Herman, Waldemar W. Koczkodaj
arXiv (Cornell University)
|
2015
|
9 citations
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising
Di Wu, Cheng Chen, +5
arXiv (Cornell University)
|
2018
|
9 citations
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes
Eric Mazumdar, Roy Dong, +3
arXiv (Cornell University)
|
2017
|
9 citations
A multi-dimensional framework for characterizing the citation impact of scientific publications
Yi Bu, Ludo Waltman, +1
arXiv (Cornell University)
|
2019
|
9 citations
A review of the literature on citation impact indicators
Ludo Waltman
arXiv (Cornell University)
|
2015
|
9 citations
A Scalable Algorithm for Two-Stage Adaptive Linear Optimization
Dimitris Bertsimas, Shimrit Shtern
arXiv (Cornell University)
|
2018
|
9 citations
A Sentiment Analysis Approach to the Prediction of Market Volatility
Justina Deveikyte, Hélyette Geman, +2
arXiv (Cornell University)
|
2020
|
9 citations
A Sigmoidal Approximation for Chance-Constrained Nonlinear Programs
Yankai Cao, Víctor M. Zavala
arXiv (Cornell University)
|
2020
|
9 citations
A Stackelberg strategy for routing flow over time
Umang Bhaskar, Lisa Fleischer, +1
arXiv (Cornell University)
|
2011
|
9 citations
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
Fernando Llorente, Luca Martino, +2
arXiv (Cornell University)
|
2021
|
9 citations
191
192
193
194
195