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A comprehensive review on ensemble deep learning

In machine learning , two approaches outperform traditional algorithms: ensemble learning and deep learning . The former refers to methods that integrate multiple base models in the same framework to obtain a stronger model that outperforms them. The success of an ensemble method depends on several factors, including how the baseline models are trained and how they are combined. In the ...

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Hybrid approaches to optimization and machine learning ...

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In this way, this paper makes a significant contribution by systematically identifying and analyzing the existing knowledge on hybrid algorithms that combine optimization and machine learning . It not only highlights research gaps in the development of hybrid strategies, but also provides insights into future directions.

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