Mutually Adaptable Learning
Published in IEEE Transactions on Emerging Topics in Computational Intelligence • Aug 9, 2023
NobleIDNI4P80W62R93S41
Authors:,,
Qi Tan
Yang Liu
Jiming Liu
Abstract
In real-world applications that involve complex data dependencies, it would be essential to proceed with machine learning tasks in an adaptable manner. This article presents a novel Mutually Adaptable Learning (MAL) approach that allows for, on the one hand, extracting the most crucial information f...
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