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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
Large-scale Open Dataset, Pipeline, and Benchmark for Bandit Algorithms
Yuta Saito, Shunsuke Aihara 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Tailin Wu, Takashi Maruyama 외 3명
arXiv (Cornell University)
|
2023
|
4 회 인용
Learning meets Assessment: On the relation between Item Response Theory and Bayesian Knowledge Tracing
Benjamin Deonovic, Michael Yudelson 외 3명
arXiv (Cornell University)
|
2018
|
4 회 인용
Learning Neural Contextual Bandits Through Perturbed Rewards
Yiling Jia, Weitong Zhang 외 3명
arXiv (Cornell University)
|
2022
|
4 회 인용
Learning Structural Weight Uncertainty for Sequential Decision-Making
Ruiyi Zhang, Chunyuan Li 외 2명
ArXiv.org
|
2017
|
4 회 인용
Learning the Experts for Online Sequence Prediction
Elad Eban, Aharon Birnbaum 외 2명
arXiv (Cornell University)
|
2012
|
4 회 인용
Learning to Extract Structured Entities Using Language Models
Haolun Wu, Ye Yuan 외 5명
arXiv (Cornell University)
|
2024
|
4 회 인용
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
Jiaqi Ma, Xinyang Yi 외 5명
arXiv (Cornell University)
|
2020
|
4 회 인용
Lessons Learnt in Conducting Survey Research
Marco Torchiano, Daniel Méndez 외 2명
arXiv (Cornell University)
|
2017
|
4 회 인용
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Sung‐Woo Lee, Younghyun Oh 외 5명
arXiv (Cornell University)
|
2023
|
4 회 인용
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