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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
Financial Trading as a Game: A Deep Reinforcement Learning Approach
Chien Yi Huang
arXiv (Cornell University)
|
2018
|
27 회 인용
From Service Quality to E-Service Quality: Measurement, Dimensions and Model
Salome O. Ighomereho, Afolabi A. Ojo 외 2명
arXiv (Cornell University)
|
2022
|
27 회 인용
Generating a synthetic population of individuals in households: Sample-free vs sample-based methods
Maxime Lenormand, Guillaume Deffuant
HAL (Le Centre pour la Communication Scientifique Directe)
|
2012
|
27 회 인용
HiSA-SMFM: Historical and Sentiment Analysis based Stock Market Forecasting Model
Ishu Gupta, Tarun Kumar Madan 외 2명
arXiv (Cornell University)
|
2022
|
27 회 인용
Inductive Conformal Martingales for Change-Point Detection
Denis Volkhonskiy, Ilia Nouretdinov 외 3명
arXiv (Cornell University)
|
2017
|
27 회 인용
Influence Maximization with Bandits
Sharan Vaswani, Laks V. S. Lakshmanan 외 1명
arXiv (Cornell University)
|
2015
|
27 회 인용
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed
Damien Lefortier, Adith Swaminathan 외 3명
arXiv (Cornell University)
|
2016
|
27 회 인용
Mixed Integer Linear Programming For Exact Finite-Horizon Planning In Decentralized Pomdps
Raghav Aras, Alain Dutech 외 1명
arXiv (Cornell University)
|
2007
|
27 회 인용
Multi-scale variance reduction methods based on multiple control variates for kinetic equations with uncertainties
Giacomo Dimarco, Lorenzo Pareschi
arXiv (Cornell University)
|
2018
|
27 회 인용
Multiple-Play Bandits in the Position-Based Model
Paul Lagrée, Claire Vernade 외 1명
arXiv (Cornell University)
|
2016
|
27 회 인용
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