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