Abstract: Boosting algorithms are a class of general methods used to improve the generalization performance of regression analysis. The main idea is to maintain a distribution over the train set. In ...

Abstract: Least-square (LS) design of two-dimensional (2-D) FIR filters with prescribed magnitude ripples is formulated as a positive definite quadratic programming, for which a recently proposed ...

PLSPM (partial least squares path modeling) is a correlation-based structural equation modeling (SEM) algorithm. It allows for estimation of complex cause-effect or prediction models using ...

Rapid characterization of biomass composition is a key enabling technology for biorefineries—the ability to measure the chemical composition of biomass materials entering the biorefinery as well as ...