Modern, large-scale scientific datasets with tens of thousands of variables and millions of samples can accelerate scientific discovery by revealing underlying structure in data based on dependence ...
A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...
Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...
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