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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
Linear models and linear mixed effects models in R with linguistic applications
Bodo Winter
arXiv (Cornell University)
|
2013
|
480 회 인용
Design Science Research Process: A Model for Producing and Presenting Information Systems Research
Ken Peffers, Tuure Tuunanen 외 5명
arXiv (Cornell University)
|
2020
|
478 회 인용
The Measure and Mismeasure of Fairness
Sam Corbett‐Davies, Gaebler, Johann D. 외 3명
arXiv (Cornell University)
|
2018
|
472 회 인용
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji 외 3명
arXiv (Cornell University)
|
2020
|
461 회 인용
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir, Tong Zhang
arXiv (Cornell University)
|
2012
|
411 회 인용
Recurrent World Models Facilitate Policy Evolution
David Ha, Jürgen Schmidhuber
arXiv (Cornell University)
|
2018
|
407 회 인용
Estimating long range dependence: finite sample properties and confidence intervals
Rafał Weron
arXiv (Cornell University)
|
2001
|
397 회 인용
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato, Matthew W. Hoffman 외 1명
arXiv (Cornell University)
|
2014
|
396 회 인용
Fairness in Machine Learning: Lessons from Political Philosophy
Reuben Binns
arXiv (Cornell University)
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2017
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390 회 인용
Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology
Alexei Botchkarev
arXiv (Cornell University)
|
2018
|
386 회 인용
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