Results 241 to 250 of about 227,027 (269)
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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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Statistical Problems in Particle Physics, Astrophysics and Cosmology, 2006
PUSHPALATHA C. BHAT, HARRISON B. PROSPER
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PUSHPALATHA C. BHAT, HARRISON B. PROSPER
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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, 2023Alexandros Iosifidis
exaly
Compiling Bayesian Networks into Neural Networks
1993The 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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Gradient boosting Bayesian neural networks via Langevin MCMC
Neurocomputing, 2023Rohitash Chandra
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Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems
Computer Methods in Applied Mechanics and Engineering, 2022Kevin Linka +2 more
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TensorBNN: Bayesian inference for neural networks using TensorFlow
Computer Physics Communications, 2022Braden Kronheim +2 more
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Bayesian regularized artificial neural networks for the estimation of the probability of default
Quantitative Finance, 2020Eduard Sariev, Guido Germano
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