New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo
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DOI: 10.1007/s12530-019-09288-3
Abstract: A prior distribution of weights for Multilayer feedforward neural network in Bayesian point of view plays a central role toward generalization. In this context, we propose a new prior law for weights parameters which motivate… read more here.
Keywords: neural network; hamiltonian monte; new prior; distribution ... See more keywords
Prior Distribution Refinement for Reference Trajectory Estimation With the Monte Carlo-Based Localization Algorithm
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DOI: 10.1109/access.2023.3247503
Abstract: A robot localization problem demands a fair comparison of the positioning algorithms. A reference trajectory of the robot’s movement is needed to estimate errors and evaluate a quality of the localization. In this article, we… read more here.
Keywords: reference trajectory; localization; prior distribution;
Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction
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DOI: 10.3934/ipi.2019066
Abstract: Bayesian inference methods have been widely applied in inverse problems due to the ability of uncertainty characterization of the estimation. The prior distribution of the unknown plays an essential role in the Bayesian inference, and… read more here.
Keywords: reconstruction; hybrid prior; inverse problems; prior distribution ... See more keywords