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Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation Read chapter Read first chapter

2018 | OriginalPaper | Chapter

PAELLA as a Booster in Weighted Regression

Authors : Manuel Castejón-Limas, Hector Alaiz-Moreton, Laura Fernández-Robles, Javier Alfonso-Cendón, Camino Fernández-Llamas, Lidia Sánchez-González, Hilde Pérez

Published in: International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Publisher: Springer International Publishing

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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.

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Footnotes
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Metadata
Title
PAELLA as a Booster in Weighted Regression
Authors
Manuel Castejón-Limas
Hector Alaiz-Moreton
Laura Fernández-Robles
Javier Alfonso-Cendón
Camino Fernández-Llamas
Lidia Sánchez-González
Hilde Pérez
Copyright Year
2018
Book
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Print ISBN: 978-3-319-67179-6

Electronic ISBN: 978-3-319-67180-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67180-2_25

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