Feb 1, 2023
Contributing to the Utilization of Big Data! Developing new data learning methods for artificial intelligence
A research group led by Associate Professor Naoki Masuyama and Professor Yusuke Nojima of the Osaka Metropolitan University Graduate School of Informatics, has developed a new method that combines classification performance for data with multiple labels, with the ability to continually learn with data. Numerical experiments on real-world multi-label datasets showed that the proposed method outperforms conventional methods.
The research results were published in IEEE Transactions on Pattern Analysis and Machine Intelligence on December 19, 2022.
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