Certain classes of Bayesian hierarchical models have shown to be particularly useful in such contexts. Bayesian approaches are strongly connected to statistical computational methods, and in ...

Certain classes of Bayesian hierarchical models have shown to be particularly useful in such contexts. Bayesian approaches are strongly connected to statistical computational methods, and in ...

In turn, the BCI can be aligned with the nuanced requirements of different user preferences and applications. In this paper, firstly, we show the full mathematical derivation of the proposed Bayesian ...

A new method for classifying calligraphy and painting images could be used in the management of cultural heritage, according ...

Unfortunately, because the weights and biases in Bayesian DL models are defined by a probability distribution, simple application of the aggregation methods associated with FL schemes for ...

Dr. John Kellum, Chief Medical Officer of Spectral, stated, “We view December as a transitional month from an enrollment perspective, as the medical supply chain issues eased. Given the continued ...

Sugar-sweetened beverages were responsible for an estimated 9.8% of new type 2 diabetes cases and 3.1% of cardiovascular ...

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Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning ...

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Abstract: In this paper, we propose a novel low-complexity Bayesian receiver design to jointly perform channel ... To tackle this difficulty, a joint channel and CFO estimation (JCCE) algorithm is ...