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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
Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected Utility
Paul Weng
arXiv (Cornell University)
|
2012
|
5 회 인용
Bandits Warm-up Cold Recommender Systems
Jérémie Mary, Romaric Gaudel 외 1명
arXiv (Cornell University)
|
2014
|
5 회 인용
Bandits with an Edge
Dotan Di Castro, Claudio Gentile 외 1명
arXiv (Cornell University)
|
2011
|
5 회 인용
Bandits with Partially Observable Confounded Data
Guy Tennenholtz, Uri Shalit 외 2명
arXiv (Cornell University)
|
2020
|
5 회 인용
Bayes-Optimal Sequential Multi-Hypothesis Testing in Exponential Families
Jue Wang
arXiv (Cornell University)
|
2015
|
5 회 인용
Bayesian Design of Experiments Using Approximate Coordinate Exchange
Antony M. Overstall, David C. Woods
arXiv (Cornell University)
|
2015
|
5 회 인용
Bayesian Forecasting in Economics and Finance: A Modern Review
Gael M. Martin, David T. Frazier 외 7명
arXiv (Cornell University)
|
2022
|
5 회 인용
Bayesian Heuristics for Group Decisions
M. Amin Rahimian, Ali Jadbabaie
arXiv (Cornell University)
|
2016
|
5 회 인용
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data
Patrick L. McDermott, Christopher K. Wikle
arXiv (Cornell University)
|
2017
|
5 회 인용
Bayesian Updating and Uncertainty Quantification using Sequential Tempered MCMC with the Rank-One Modified Metropolis Algorithm
Thomas Catanach, James L. Beck
arXiv (Cornell University)
|
2018
|
5 회 인용
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