Article

Transfer learning framework via Bayesian group factor analysis incorporating feature-wise dependencies

2025-05-10

Abstract excerpt

Transfer learning considers distinct but related tasks defined over heterogeneous domains and aims to improve generalization and performance through knowledge transfer between tasks. This approach can be especially advantageous in biomedical contexts with insufficient labeled training data, where joint learning across domains can enable inference in otherwise underpowered datasets. High-dimensional biomedical data...

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Literature Corpus work: 72f469f2-056e-5f27-873f-fb1a30e682e5
DOI: 10.1101/2025.05.07.648613

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