Verify
发表于 2025-3-28 18:11:43
Lecture Notes in Computer Scienceayesian CPD that incorporates the orthogonality structure and/or handles non-Gaussian noises. In this chapter, we present a unified Bayesian modeling and inference for complex-valued tensor CPD with/without orthogonal factors, under/not under Gaussian noises. Applications on blind receiver design and linear image coding are presented.
HEPA-filter
发表于 2025-3-28 19:38:44
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Minikin
发表于 2025-3-29 01:40:30
Bayesian Learning for Sparsity-Aware Modeling,g models, including deep neural networks, Gaussian processes, and tensor decompositions. Then, we introduce the variational inference framework for algorithm development and discuss its tractability in different Bayesian models.