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Generalized nonnegative structured Kruskal tensor regression
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DOI：10.1016/j.sigpro.2025.110338.png)
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Abstract
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• NS-KTR: nonnegative structured Kruskal tensor regression with hybrid regularization. • Mode-specific regularization: LASSO, total variation, and ridge across tensor modes. • Unified framework supports linear and logistic regression for diverse responses. • ADMM-based optimization achieves superior accuracy with significant speedups.
Keywords:
Tensor regression
CANDECOMP/PARAFAC decomposition
Nonnegativity constraints
Structured regularization
ADMM
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