A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures
Datasets with thousands of features represent a challenge for many of the existing learning methods because of the well known curse of dimensionality. Not only that, but the presence of irrelevant and redundant features on any dataset can degrade the performance of any model where training and infer...
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Published in | Machine learning and knowledge extraction Vol. 4; no. 1; pp. 131 - 149 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.03.2022
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Subjects | |
Online Access | Get full text |
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