Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals.
Fabian GuignardFederico AmatoMikhail F. KanevskiPublished in: Neurocomputing (2021)
Keyphrases
- confidence intervals
- extreme learning machine
- variance reduction
- feed forward neural networks
- feedforward neural networks
- sample size
- support vector regression
- neural network
- markov chain
- gaussian processes
- single layer
- hidden nodes
- test set
- conditional probabilities
- activation function
- variable selection
- back propagation
- multi layer
- upper bound
- monte carlo
- artificial neural networks
- recurrent neural networks
- hidden layer
- error rate
- support vector machine
- bayesian networks
- learning algorithm