AINeutralarXiv – CS AI · Jun 45/10
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An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization
Researchers propose ELFM-DEGDO, an ensemble machine learning model combining differential evolution and gradient descent optimization to improve latent factor analysis on high-dimensional, incomplete data. The dual-optimization approach with adaptive weighting outperforms traditional single-method models, demonstrating practical advantages for handling complex real-world datasets.