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stat.ML2024
An information theoretic limit to data amplification
S. J. Watts, L. Crow
In recent years generative artificial intelligence has been used to create data to support science analysis. For example, Generative Adversarial Networks (GANs) have been trained u…
stat.ML2024★ 1 cited
Limits to classification performance by relating Kullback-Leibler divergence to Cohen's Kappa
L. Crow, S. J. Watts
The performance of machine learning classification algorithms are evaluated by estimating metrics, often from the confusion matrix, using training data and cross-validation. Howeve…