Maximum Likelihood Weights for a Linear Ensemble of Regression Neural Networks.
Michiel C. van WezelWalter A. KostersJoost N. KokPublished in: ICONIP (1998)
Keyphrases
- neural network
- maximum likelihood
- regression problems
- simple linear
- regression function
- nonlinear functions
- neural network ensemble
- hyperparameters
- linear regression
- linear combination
- fuzzy logic
- regression model
- cross validation
- model selection
- akaike information criterion
- artificial neural networks
- expectation maximization
- back propagation
- weighted voting
- linear models
- weight update
- feed forward
- closed form
- nonlinear regression
- pattern recognition
- random forests
- activation function
- training data
- highly non linear
- recurrent neural networks
- regression method
- likelihood function
- ensemble methods
- maximum a posteriori
- support vector
- feature selection
- learning algorithm
- genetic algorithm