1.9k citations · 3.6k across the 13 of their papers we have counts for
Showing 2019 · stat.MLShow all
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stat.ML2019★ 19 cited
Contrast Trees and Distribution Boosting
Jerome H. Friedman
Often machine learning methods are applied and results reported in cases where there is little to no information concerning accuracy of the output. Simply because a computer progra…
stat.ML2019★ 121 cited
Expert-Augmented Machine Learning
E. D. Gennatas, J. H. Friedman, L. H. Ungar +10
Machine Learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption by the level of t…