Cultivating Ensemble Diversity through Targeted Injection of Synthetic Data: Path Loss Prediction Examples

Cultivating Ensemble Diversity through Targeted Injection of Synthetic Data: Path Loss Prediction Examples

Machine Learning (ML)-based models are steadily gaining popularity. Their performance is determined from the amount and the quality of data used at their inputs, as well as from the competence and proper tuning of the ML algorithm used. However, collecting high-quality real data is time-consuming an...

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Bibliographic Details
Main Author:	Sotirios P. Sotiroudis
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Electronics
Subjects:	ensemble learning synthetic data path loss prediction base learners diversity
Online Access:	https://www.mdpi.com/2079-9292/13/3/613

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