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Decision Sciences
Decision Sciences 论文解读
Decision Sciences 领域重要论文的 AI 解读列表,按研究动机、方法与结果结构化呈现。
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5,756 results
Large-scale Open Dataset, Pipeline, and Benchmark for Bandit Algorithms
Yuta Saito, Shunsuke Aihara, +2
arXiv (Cornell University)
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2020
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4 citations
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Tailin Wu, Takashi Maruyama, +3
arXiv (Cornell University)
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2023
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4 citations
Learning meets Assessment: On the relation between Item Response Theory and Bayesian Knowledge Tracing
Benjamin Deonovic, Michael Yudelson, +3
arXiv (Cornell University)
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2018
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4 citations
Learning Neural Contextual Bandits Through Perturbed Rewards
Yiling Jia, Weitong Zhang, +3
arXiv (Cornell University)
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2022
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4 citations
Learning Structural Weight Uncertainty for Sequential Decision-Making
Ruiyi Zhang, Chunyuan Li, +2
ArXiv.org
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2017
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4 citations
Learning the Experts for Online Sequence Prediction
Elad Eban, Aharon Birnbaum, +2
arXiv (Cornell University)
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2012
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4 citations
Learning to Extract Structured Entities Using Language Models
Haolun Wu, Ye Yuan, +5
arXiv (Cornell University)
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2024
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4 citations
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
Jiaqi Ma, Xinyang Yi, +5
arXiv (Cornell University)
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2020
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4 citations
Lessons Learnt in Conducting Survey Research
Marco Torchiano, Daniel Méndez, +2
arXiv (Cornell University)
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2017
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4 citations
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Sung‐Woo Lee, Younghyun Oh, +5
arXiv (Cornell University)
|
2023
|
4 citations
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