FASTENER Feature Selection for Inference from Earth Observation Data
In this paper, a novel feature selection algorithm for inference from high-dimensional data (FASTENER) is presented. With its multi-objective approach, the algorithm tries to maximize the accuracy of a machine learning algorithm with as few features as possible. The algorithm exploits entropy-based...
Main Authors: | Filip Koprivec, Klemen Kenda, Beno Šircelj |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/11/1198 |
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