Latest Talk
Converging DOEs and Machine Learning with Self-Validating Ensemble Modeling
Christopher Gotwalt, PhD, SAS Institute | Philip Ramsey, PhD, Predictum Inc. | Wayne Levin, Predictum Inc.
Self-Validating Ensemble Modeling (S-VEM) is an exciting, new method that delivers machine learning accuracy to Design of Experiments (DOE) and has many applications in manufacturing and chemical processes. Machine learning methods are valued because they produce excellent predictive models, but until now they have been disqualified from use with small data sets, including designed experiments,…
