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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 Gang of Bandits
Nicolò Cesa‐Bianchi, Claudio Gentile 외 1명
arXiv (Cornell University)
|
2013
|
47 회 인용
A Simplified Description of Fuzzy TOPSIS
Balwinder Sodhi, T. V. Prabhakar
arXiv (Cornell University)
|
2012
|
47 회 인용
Agnostic System Identification for Model-Based Reinforcement Learning
Stéphane Ross, J. Andrew Bagnell
arXiv (Cornell University)
|
2012
|
47 회 인용
DCM Bandits: Learning to Rank with Multiple Clicks
Sumeet Katariya, Branislav Kveton 외 2명
arXiv (Cornell University)
|
2016
|
47 회 인용
Guidance note on best statistical practices for TOAR analyses
Kai‐Lan Chang, Martin G. Schultz 외 2명
arXiv (Cornell University)
|
2023
|
47 회 인용
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes
Ali Hebbal, Loïc Brevault 외 3명
arXiv (Cornell University)
|
2020
|
47 회 인용
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting
Xinli Yu, Zheng Chen 외 4명
arXiv (Cornell University)
|
2023
|
47 회 인용
Where the Rubber Meets the Sky: Bridging the Gap between Databases and Science
Jim Gray, Alexander S. Szalay
ArXiv.org
|
2005
|
47 회 인용
A Taxonomy of Constraints in Simulation-Based Optimization
Sébastien Le Digabel, Stefan M. Wild
arXiv (Cornell University)
|
2015
|
46 회 인용
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
Johannes Kirschner, Mojmír Mutný 외 3명
arXiv (Cornell University)
|
2019
|
46 회 인용
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