PAELLA as a booster in weighted regression

1Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper reports the use of the PAELLA algorithm in the context of weighted regression. First, an experiment comparing this new approach versus probabilistic macro sampling is reported, as a natural extension of previous work. Then another different experiment is reported where this approach is tested against a state of the art regression technique. Both experiments provide satisfactory results.

Author supplied keywords

Cite

CITATION STYLE

APA

Castejón-Limas, M., Alaiz-Moreton, H., Fernández-Robles, L., Alfonso-Cendón, J., Fernández-Llamas, C., Sánchez-González, L., & Pérez, H. (2018). PAELLA as a booster in weighted regression. In Advances in Intelligent Systems and Computing (Vol. 649, pp. 259–265). Springer Verlag. https://doi.org/10.1007/978-3-319-67180-2_25

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free