Neural network for regression problems with reduced training sets.
Mohammad BatainehTimothy MarlerPublished in: Neural Networks (2017)
Keyphrases
- regression problems
- neural network
- training set
- cross validation
- genetic programming
- linear regression
- input space
- high dimensional data
- back propagation
- artificial neural networks
- support vector machine
- learning machines
- classification accuracy
- pattern recognition
- training algorithm
- feature selection
- genetic algorithm
- multi task
- training samples
- supervised learning
- active learning
- feature space
- model selection
- knn
- hyperparameters
- random forests
- training examples
- multi class
- upper bound
- bp neural network
- feature extraction
- generalization error
- decision trees
- machine learning
- data sets