Hidden representations in deep neural networks: Part 2. Regression problems.
Laya DasAbhishek SivaramVenkat VenkatasubramanianPublished in: Comput. Chem. Eng. (2020)
Keyphrases
- regression problems
- neural network
- genetic programming
- linear regression
- cross validation
- input space
- artificial neural networks
- back propagation
- random forests
- multi task
- high dimensional data
- hyperparameters
- learning machines
- fuzzy logic
- support vector machine
- genetic algorithm
- pattern recognition
- kernel function
- logistic regression
- multi class
- training process
- machine learning