Bayesian network

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Bayesian network

A form of artificial intelligence—named for Bayes’ theorem—which calculates probability based on a group of related or influential signs. Once a Bayesian network AI is taught the symptoms and probable indicators of a particular disease, it can assess the probability of that disease based on the frequency or number of signs in a patient.
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We attempt to extend the principle goal of establishing a technique to resolve the OAI by implementing a Bayesian Neural Network (BNN, or Bayesian Belief Network) statistical model.
These features was used for training a Bayesian Neural Network used for classification.
Thinking differently: Assessing non-linearities in the relationship between work attitudes and job performance using a Bayesian neural network, Journal of Occupational and Organizational Psychology 74: 47-61.
A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer.
Regression analysis, support vector machines, and Bayesian neural network approaches to modeling surface roughness in face milling, International Journal of Advanced Manufacturing Technology, Vol.
Bayesian neural network model is more effective in identifying the true
For example, Neal (1996) proves that a Bayesian neural network can use an infinite number of logit curves without causing improper behavior in the output function, provided that the prior variances are properly scaled.
Manicom-Ramsamy, "Bayesian neural network approach to short time load forecasting," Energy Conversion and Management, vol.
We generalized the Hopfield's (1982) discrete model into Bayesian neural networks, where each neuron in the model uses NB (Kononenko, 1989c), and later in my PhD I generalized it into continuous model.

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