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Bayesian Neural Networks in Predictive Neurosurgery

"Bayesian Neural Networks in Predictive Neurosurgery" explains both conceptually and theoretically the combination of statistical techniques for clinical prediction models, including artificial neural networks, Bayesian regression, and Bayesian neural networks. This clinical prediction system incorporates both prior knowledge and one's own experiences (
Benjamin W Y, Lo, Hitoshi, Fukuda
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BAYESIAN NEURAL NETWORKS

Statistical Problems in Particle Physics, Astrophysics and Cosmology, 2006
PUSHPALATHA C. BHAT, HARRISON B. PROSPER
openaire   +1 more source

Bayesian Nonparametrics via Neural Networks

Journal of the American Statistical Association, 2006
(2006). Bayesian Nonparametrics via Neural Networks. Journal of the American Statistical Association: Vol. 101, No. 475, pp. 1313-1313.
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Bayesian learning for neural networks: an algorithmic survey

Artificial Intelligence Review, 2023
Alexandros Iosifidis
exaly  

Compiling Bayesian Networks into Neural Networks

1993
The criticism on the usage of Bayesian Networks in expert systems was centered around the claim that the use of probability requires a massive amount of data in the form of conditional probabilities. This paper shows that given information easily obtained from experts, the dependence model and some observations, the conditional probabilities can be ...
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B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data

Journal of Computational Physics, 2021
Liu Yang, George E Karniadakis
exaly  

Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems

Computer Methods in Applied Mechanics and Engineering, 2022
Kevin Linka   +2 more
exaly  

TensorBNN: Bayesian inference for neural networks using TensorFlow

Computer Physics Communications, 2022
Braden Kronheim   +2 more
exaly  

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