Regularized extreme learning machine for regression with missing data.
Qi YuYoan MicheEmil EirolaMark van HeeswijkEric SéverinAmaury LendassePublished in: Neurocomputing (2013)
Keyphrases
- missing data
- extreme learning machine
- support vector regression
- gaussian processes
- regression model
- low rank
- feedforward neural networks
- feed forward neural networks
- single layer
- missing values
- support vector
- neural network
- least squares
- incomplete data
- support vector machine svm
- hidden nodes
- support vector machine
- variable selection
- model selection
- gaussian process
- kernel function
- pattern recognition
- feature selection
- multi layer
- data sets
- activation function
- objective function
- data points
- artificial neural networks
- linear combination