We survey some developments in machine learning and data analysis,focusing on those in which optimization is an importantcomponent. Some of these have possible relevance for industrial andenergy applications, for example, constraints and covariances could be'learned' from process data rather than specified a priori. Somepossibilities along these...
Creator:
Wright, Stephen (University of Wisconsin, Madison)
Created:
2016-02-22
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.