The algorithm is used to address, among other issues in the recursive partial least-squares (RPLS) regression algorithm, the “forgetting factor” and sensitivity of variable scaling. Two levels of ...

After the straddling offsets of all targets are accurately estimated, the complex amplitudes of targets are simultaneously estimated by using the LS algorithm. To mitigate the impact of target ...

Oak Ridge Institute for Science and Education (ORISE), Hosted at U.S. Environmental Protection Agency, Athens, Georgia 30605, United States ...

Abstract: This paper considers the problem of multi-agent distributed linear regression in the presence of system noises. In this problem, the system comprises multiple agents wherein ... distributed ...

Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models ...

In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: stepwise multiple linear regression (SMLR) and random forest algorithm (RF). The SMLR ...