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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
Cycles of Thought: Measuring LLM Confidence through Stable Explanations
Evan Becker, Stefano Soatto
arXiv (Cornell University)
|
2024
|
3 회 인용
Cyclic Stochastic Optimization: Generalizations, Convergence, and Applications in Multi-Agent Systems
Karla Hernández Cuevas
arXiv (Cornell University)
|
2017
|
3 회 인용
Data adaptation in HANDY economy-ideology model
Marcin Sendera
arXiv (Cornell University)
|
2019
|
3 회 인용
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
Melissa Adrian, Daniel Sanz-Alonso 외 1명
arXiv (Cornell University)
|
2024
|
3 회 인용
Data-Distributed Weighted Majority and Online Mirror Descent
Hua Ouyang, Alexander Gray
arXiv (Cornell University)
|
2011
|
3 회 인용
Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs
Ruoxuan Xiong, Alex Chin 외 1명
arXiv (Cornell University)
|
2024
|
3 회 인용
Data Readiness for AI: A 360-Degree Survey
Kaveen Hiniduma, Suren Byna 외 1명
arXiv (Cornell University)
|
2024
|
3 회 인용
Datastringer: easy dataset monitoring for journalists
Matt Shearer, Basile Simon 외 1명
arXiv (Cornell University)
|
2024
|
3 회 인용
Decoupling Learning Rates Using Empirical Bayes Priors.
Sareh Nabi, Houssam Nassif 외 3명
arXiv (Cornell University)
|
2020
|
3 회 인용
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
Tianyu Fan, Lirong Wu 외 5명
ArXiv.org
|
2024
|
3 회 인용
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