Determining input variable ranges given a trained regression model and an output range.
Noelia OsesAritz LegarretaetxebarriaMarco QuartulliIgor G. OlaizolaMikel SerranoPublished in: INDIN (2019)
Keyphrases
- regression model
- hidden units
- rbf network
- desired output
- target variable
- response variable
- input variables
- input data
- model selection
- regression analysis
- generalized linear models
- regression methods
- gaussian process
- linear model
- kernel regression
- prediction model
- neural network
- predictor variables
- explanatory variables
- radial basis function
- support vector regression
- logistic regression models
- nonlinear functions
- multiple linear regression
- interval valued data
- semi parametric
- regression method
- variable selection
- linear regression model
- locally weighted
- regression trees
- independent variables
- multilayer perceptron
- training set
- hidden layer