Abstract
In this chapter, we introduce the concepts of both generative learning and multi-task learning, and presents a proposed fuzzy approach for multi-task classification. We also discuss the advantages of fuzzy classification in the context of generative multi-task learning, in comparison with traditional classification in the context of discriminative single-task learning.
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Liu, H., Cocea, M. (2018). Fuzzy Classification Through Generative Multi-task Learning. In: Granular Computing Based Machine Learning. Studies in Big Data, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-70058-8_5
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DOI: https://doi.org/10.1007/978-3-319-70058-8_5
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