Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

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Sam Sulek has quickly transitioned from a young fitness influencer to earning his IFBB Pro card in 2025 and has taken a bold step while preparing for his pro debut at the upcoming Arnold Classic.

Abstract: The optimality of Bayesian filtering relies on the completeness of prior models, while deep learning holds a distinct advantage in learning models from offline data. Nevertheless, the ...

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