Regularized extreme learning machine for regression problems.
José María Martínez-MartínezPablo Escandell-MonteroEmilio Soria-OlivasJosé David Martín-GuerreroJosé Rafael Magdalena BeneditoJuan Gómez-SanchísPublished in: Neurocomputing (2011)
Keyphrases
- regression problems
- extreme learning machine
- linear regression
- cross validation
- genetic programming
- support vector regression
- variable selection
- support vector machine
- least squares
- gaussian processes
- input space
- neural network
- high dimensional data
- multi task
- hyperparameters
- model selection
- evolutionary algorithm
- feature selection
- machine learning
- kernel function
- support vector
- genetic algorithm
- bayesian framework
- regression model
- gaussian process
- training set