Uncertainty in P-Values, Monty Hall Problem and, Bayesian and Neural Network Predictions.
Priyantha WijayatungaPublished in: ISAIM (2022)
Keyphrases
- neural network
- decision theory
- artificial neural networks
- dempster shafer
- back propagation
- feed forward
- confidence intervals
- posterior distribution
- conditional probabilities
- bayesian networks
- neural nets
- uncertain data
- recurrent neural networks
- posterior probability
- activation function
- neural network model
- user defined
- attribute values
- maximum likelihood
- fuzzy logic
- knn
- predicted values
- learning vector quantization
- possibility theory
- feed forward neural networks
- bayesian learning
- neural network is trained
- bayesian methods
- fuzzy neural network
- pixel values
- multilayer perceptron
- radial basis function
- markov random field
- control system
- pattern recognition