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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
BEAT: An Open-Source Web-Based Open-Science Platform
André Anjos, Laurent El Shafey 외 1명
arXiv (Cornell University)
|
2017
|
7 회 인용
Beyond Chance-Constrained Convex Mixed-Integer Optimization: A Generalized Calafiore-Campi Algorithm and the notion of $S$-optimization
Jesús A. De Loera, R. N. La Haye 외 2명
arXiv (Cornell University)
|
2015
|
7 회 인용
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
Kun Chen, Kechao Cai 외 2명
arXiv (Cornell University)
|
2018
|
7 회 인용
Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation
Ambrose Robinson, William Thorne 외 5명
arXiv (Cornell University)
|
2023
|
7 회 인용
Boosting for Dynamical Systems.
Elad Hazan, Naman Agarwal 외 2명
arXiv (Cornell University)
|
2019
|
7 회 인용
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback
Yan Zhang, Yi Zhou 외 2명
arXiv (Cornell University)
|
2020
|
7 회 인용
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback
Chang Li, Branislav Kveton 외 5명
arXiv (Cornell University)
|
2018
|
7 회 인용
Calibration of multi-physics computational models using Bayesian networks
You Ling, Joshua Mullins 외 1명
arXiv (Cornell University)
|
2012
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7 회 인용
Cascades of Failure and Extinction in Evolving Complex Systems
Paul Ormerod, Rich Colbaugh
2006
|
7 회 인용
Causal Discovery for Manufacturing Domains
Katerina Marazopoulou, Rumi Ghosh 외 2명
arXiv (Cornell University)
|
2016
|
7 회 인용
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