PAELLA as a Booster in Weighted Regression

被引：1

作者：

Castejon-Limas, Manuel ^{[1
]}

Alaiz-Moreton, Hector ^{[1
]}

Fernandez-Robles, Laura ^{[1
]}

Alfonso-Cendon, Javier ^{[1
]}

Fernandez-Llamas, Camino ^{[1
]}

Sanchez-Gonzalez, Lidia ^{[1
]}

Perez, Hilde ^{[1
]}

机构：

[1] Univ Leon, E-24071 Leon, Spain

来源：

INTERNATIONAL JOINT CONFERENCE SOCO'17- CISIS'17-ICEUTE'17 PROCEEDINGS | 2018年 / 649卷

关键词：

Weighted regression; Outlier detection; PREDICTION; MODELS; MEXICO; US;

D O I：

10.1007/978-3-319-67180-2_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：259 / 265

页数：7

共 13 条

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