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Social Sciences 논문 리뷰
Social Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Deep Learning vs. Gradient Boosting: Benchmarking state-of-the-art machine learning algorithms for credit scoring
Marc Schmitt
arXiv (Cornell University)
|
2022
|
21 회 인용
Derivative Formula and Harnack Inequality for Jump Processes
Feng‐Yu Wang
arXiv (Cornell University)
|
2011
|
21 회 인용
Distributionally Robust Facility Location Problem under Decision-dependent Stochastic Demand
Beste Basciftci, Shabbir Ahmed 외 1명
arXiv (Cornell University)
|
2019
|
21 회 인용
Do investors trade too much? A laboratory experiment
João da Gama Batista, Domenico Massaro 외 3명
arXiv (Cornell University)
|
2015
|
21 회 인용
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Andreas Opedal, Alessandro Stolfo 외 6명
arXiv (Cornell University)
|
2024
|
21 회 인용
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R
Philipp Bach, Victor Chernozhukov 외 3명
arXiv (Cornell University)
|
2021
|
21 회 인용
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie 외 5명
arXiv (Cornell University)
|
2021
|
21 회 인용
Dual Mirror Descent for Online Allocation Problems
Haihao Lu, Santiago Balseiro 외 1명
arXiv (Cornell University)
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2020
|
21 회 인용
Dynamic Characterization of Arrows through Stochastic Perturbation
Ryan Fish, Youzhi Liang 외 4명
arXiv (Cornell University)
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2019
|
21 회 인용
Earlier Web Usage Statistics as Predictors of Later Citation Impact
Tim Brody, Stevan Harnad
ArXiv.org
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2005
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21 회 인용
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