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Showing 1 to 7 of 7 for “"Bayesian Regularization"”.
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Bayesian regularization for graphical models and variants: Theory and algorithms
This Dissertation was approved for publication on 2019-04-19 at 09:57.
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Modelling and prediction of tire-rim slip with finite element analysis
… neural network with 31 neurons was trained using Bayesian regularization to predict the tire-rim slip with a correlation coefficient of 0.99431.
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Change point detection for high dimensional data and valid inference for Bayesian linear models
… change point detection and inference for Bayesian linear models. In the first project, we propose a change point detection method testing mean shift for high dimensional observations with unknown heteroscedasticity. The proposed tests target a dense alternative and a wild bootstrap …
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EMG-Based Human-in-the-Loop Bayesian Optimization to Assist Hip-Centric Activities
… pipeline combining Hankel decomposition, Bayesian regularization, and optimized smoothing that improves composite EMG quality metrics by 108\%; (ii) machine-learning-guided initialization from anthropometric measurements that reduces convergence time by 26.5\% and improves final …
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A novel non-intrusive objective method to predict voice quality of service in LTE networks.
… quality over LTE networks. In conclusion, the Bayesian Regularization algorithm with 4 neurons in the hidden layer and sigmoid symmetric transfer function was identified as the best solution with a Mean Square Error (MSE) rate of 0.001 and regression value of 0.998 measured for the testing data …
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Learning to share: Bayesian approaches to sparsity and transfer
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms