Agent-Based RBF Network Classifier with Feature Selection in a Kernel Space.
Ireneusz CzarnowskiPiotr JedrzejowiczPublished in: Cybern. Syst. (2016)
Keyphrases
- rbf network
- kernel space
- feature selection
- feature space
- radial basis function
- support vector
- feature set
- selected features
- support vector machine
- learning algorithm
- principal components
- informative features
- hyperplane
- feature subset
- rbf neural network
- maximum margin
- nonlinear functions
- feature selection algorithms
- hidden units
- classification accuracy
- dimensionality reduction
- text classification
- training samples
- text categorization
- svm classifier
- high dimensional
- back propagation
- kernel function
- input space
- classification method
- feature extraction
- training set
- feature vectors
- reduced set
- classification rate
- principal component analysis
- machine learning
- training data
- knn
- multilayer perceptron
- support vector machine svm
- neural network
- active learning
- optimization methods
- k nearest neighbor
- feature weighting
- machine learning algorithms
- clustering algorithm
- image processing
- classification algorithm