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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
Improving the Expected Improvement Algorithm
Chao Qin, Diego Klabjan 외 1명
arXiv (Cornell University)
|
2017
|
39 회 인용
Learning-based Control of Unknown Linear Systems with Thompson Sampling
Yi Ouyang, Mukul Gagrani 외 1명
arXiv (Cornell University)
|
2017
|
39 회 인용
Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward
Andrius Mudinas, Dell Zhang 외 1명
arXiv (Cornell University)
|
2019
|
39 회 인용
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
René Carmona, Mathieu Laurière 외 1명
arXiv (Cornell University)
|
2019
|
39 회 인용
Models for Truthful Online Double Auctions
Jonathan Bredin, David C. Parkes
arXiv (Cornell University)
|
2012
|
39 회 인용
Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy 외 5명
arXiv (Cornell University)
|
2016
|
39 회 인용
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems
Yasin Abbasi-Yadkori, Dávid Pál 외 1명
arXiv (Cornell University)
|
2011
|
39 회 인용
Receiver Operating Characteristic (ROC) Curves
Peter Vogel, Vogel, Peter
arXiv (Cornell University)
|
2018
|
39 회 인용
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Matthew O’Kelly, Aman Sinha 외 3명
arXiv (Cornell University)
|
2018
|
39 회 인용
The QCD/SM Working Group: Summary Report
M. Dobbs, Csaba Balázs 외 58명
ArXiv.org
|
2002
|
39 회 인용
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