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A generalized residual technique for analysing complex movement models using earth mover's distance.
Download2014-10-01
Potts, Jonathan R, Marie Auger-M´eth´e, Karl Mokross, Mark A. Lewis
Complex systems of moving and interacting objects are ubiquitous in the natural and social sciences. Predicting their behaviour often requires models that mimic these systems with sufficient accuracy, while accounting for their inherent stochasticity. Although tools exist to determine which of a...
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An Efficient and Accurate Numerical Determination of the Cluster Resolution Metric in Two Dimensions
Download2021-04-01
Sorochan Armstrong, Michael D., de la Mata, A. Paulina, Harynuk, James J.
Cluster resolution (CR) is a useful metric for guiding automated feature selection of classification models. CR is a measure of class separation in a linear subspace for variable subsets via the determination of maximal, non‐intersecting confidence ellipses. Feature selection by cluster...
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Beyond Static Classification: Long-term Fairness for Minority Groups via Performative Prediction and Distributionally Robust Optimization
DownloadFall 2022
In recent years machine learning (ML) models have begun to be deployed at enormous scales, but too often without adequate concern for whether or not an ML model will make fair decisions. Fairness in ML is a burgeoning research area, but work to define formal fairness criteria has some serious...
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2020-02-21
Both researchers and practitioners often use Monte Carlo simulations to answer a variety of research questions. Over the past decade, R (R Core Team 2019) has been one of the most popular programming languages for conducting Monte Carlo simulation studies. R (https://www.r-project.org/) is a...