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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
Visual Behaviors and Mobile Information Acquisition
Nuwan Janaka, Xinke Wu 외 3명
arXiv (Cornell University)
|
2022
|
7 회 인용
What Can Cryptography Do For Decentralized Mechanism Design
Elaine Shi, Hao Chung 외 1명
arXiv (Cornell University)
|
2022
|
7 회 인용
When more information reduces the speed of learning
Matan Harel, Elchanan Mossel 외 2명
arXiv (Cornell University)
|
2014
|
7 회 인용
Whole-Building Fault Detection: A Scalable Approach Using Spectral Methods
Michael Georgescu, Sophie Loire 외 2명
arXiv (Cornell University)
|
2017
|
7 회 인용
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout
Xubo Yue, Raed Al Kontar
arXiv (Cornell University)
|
2019
|
7 회 인용
Your data is your dogfood: DevOps in the astronomical observatory
Frossie Economou, Joshua Hoblitt 외 1명
arXiv (Cornell University)
|
2014
|
7 회 인용
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
Anand Kalvit, Assaf Zeevi
arXiv (Cornell University)
|
2021
|
6 회 인용
A comparative study of Different Machine Learning Regressors For Stock Market Prediction
Nazish Ashfaq, Zubair Nawaz 외 1명
arXiv (Cornell University)
|
2021
|
6 회 인용
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms
George Papadakis, Nishadi Kirielle 외 2명
arXiv (Cornell University)
|
2023
|
6 회 인용
A Deep Learning Framework for Pricing Financial Instruments
Qiong Wu, Zheng Zhang 외 3명
arXiv (Cornell University)
|
2019
|
6 회 인용
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