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To address this problem, we propose a joint imaging and target detection network based on Bayesian maximum a posteriori (MAP) estimation. The imaging and detection results are, respectively, defined ...
A fundamental step in decision analysis is the elicitation of the decision maker's information about the uncertainties of the decision situation in the form of a joint probability distribution. This ...
Python Implementation of Ordinary Differential Equations Solvers using Hybrid Physics-informed Neural Networks This repository is provided as a tutorial for the implementation of integration ...
Joint probability is a statistical measure that calculates the likelihood of two events occurring together and at the same point in time.
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