Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation.
Sara BjörkStian Normann AnfinsenMichael KampffmeyerErik NæssetTerje GobakkenLennart NoordermeerPublished in: CoRR (2023)
Keyphrases
- regression model
- deep learning
- multi objective
- prediction model
- linear regression model
- linear model
- multiple linear regression
- target variable
- evolutionary algorithm
- survival analysis
- regression methods
- unsupervised learning
- model selection
- machine learning
- regression analysis
- unsupervised feature learning
- gaussian process
- weakly supervised
- missing values
- restricted boltzmann machine
- training set
- genetic algorithm
- explanatory variables
- feature selection
- multivariate regression
- multi layer perceptron
- graphical models
- pattern recognition
- objective function