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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
Applying Personal Knowledge Graphs to Health
Sola Shirai, Oshani Seneviratne 외 1명
arXiv (Cornell University)
|
2021
|
12 회 인용
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale
Matthias Seeger, Syama Sundar Rangapuram 외 5명
arXiv (Cornell University)
|
2017
|
12 회 인용
Are sample means in multi-armed bandits positively or negatively biased?
Jaehyeok Shin, Aaditya Ramdas 외 1명
arXiv (Cornell University)
|
2019
|
12 회 인용
Asymptotic analysis of a particle system with mean-field interaction
Anatoly Manita, Vadim Shcherbakov
arXiv (Cornell University)
|
2004
|
12 회 인용
AutoDev: Automated AI-Driven Development
Michele Tufano, Anisha Agarwal 외 3명
arXiv (Cornell University)
|
2024
|
12 회 인용
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
Zelin Ni, Hang Yu 외 3명
arXiv (Cornell University)
|
2023
|
12 회 인용
BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking
Zijian Ming, Chunjie Luo 외 5명
arXiv (Cornell University)
|
2014
|
12 회 인용
Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
Julian Zimmert, Haipeng Luo 외 1명
arXiv (Cornell University)
|
2019
|
12 회 인용
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
Chung‐Wei Lee, Haipeng Luo 외 2명
arXiv (Cornell University)
|
2020
|
12 회 인용
Bid Shading by Win-Rate Estimation and Surplus Maximization
Shengjun Pan, Brendan Kitts 외 9명
arXiv (Cornell University)
|
2020
|
12 회 인용
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