A comparison between FS-NEAT and FD-NEAT and an investigation of different initial topologies for a classification task with irrelevant features.
Evgenia PapavasileiouBart JansenPublished in: SSCI (2016)
Keyphrases
- irrelevant features
- feature selection
- text classification
- feature selection algorithms
- classification accuracy
- support vector machine
- feature subset
- feature extraction
- pattern recognition
- redundant features
- support vector
- feature space
- machine learning
- feature weighting
- neural network
- svm classifier
- training set
- text categorization
- support vector machine svm
- class labels
- image classification
- classification models
- decision trees
- image processing