Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals.
Fabian GuignardFederico AmatoMikhail F. KanevskiPublished in: CoRR (2020)
Keyphrases
- confidence intervals
- extreme learning machine
- variance reduction
- support vector regression
- sample size
- feed forward neural networks
- feedforward neural networks
- markov chain
- neural network
- hidden nodes
- single layer
- monte carlo
- conditional probabilities
- test set
- gaussian processes
- roc curve
- variable selection
- activation function
- recurrent neural networks
- regression model
- information extraction
- model selection
- lower bound