Additive modelling offers a flexible framework in which a response variable is expressed as the sum of smooth functions of predictors. Central to this approach are smoothing techniques that control ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

Suggested Citation: "2 Process Monitoring and Control." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a ...

This activity was supported by the U.S. National Institute of Standards and Technology (Contract No. SB134117CQ0017), the Department of Energy, Los Alamos National Laboratory, and Sandia National ...

Generalized additive models (GAMs) are commonly used in ecological research for their ability to model complex nonlinear relationships. However, assessing predictor importance in the presence of ...

Limitations of linear regression applied on ecological data -- Things are not always linear : additive modeling -- Dealing with heterogeneity -- Mixed effects modeling for nested data -- Violation of ...

Widely used by the food industry, emulsifiers—a type of food additive—are found in many daily foods (sliced bread, ice creams, crème fraîche, plant milks, etc.). Given their omnipresence in our diet, ...