Confident Neural Network Regression with Bootstrapped Deep Ensembles.
Laurens SluijtermanEric CatorTom HeskesPublished in: CoRR (2022)
Keyphrases
- neural network
- neural network ensemble
- regression model
- generalized regression neural network
- artificial neural networks
- regression trees
- back propagation
- neural network model
- decision trees
- ensemble learning
- simple linear
- neural network is trained
- regression problems
- learning machines
- network architecture
- classification and regression trees
- random forests
- deep learning
- ensemble methods
- model selection
- support vector
- support vector regression
- prediction model
- linear regression
- multilayer perceptron
- partial least squares
- ridge regression
- multi layer
- bp neural network
- feed forward
- nonlinear functions
- genetic algorithm
- tree ensembles
- regression algorithm
- multiple classifier systems
- regression method
- training algorithm
- hidden layer
- base classifiers
- radial basis function
- machine learning