Feature selection using localized generalization error for supervised classification problems using RBFNN.
Wing W. Y. NgDaniel S. YeungMichael FirthEric C. C. TsangXizhao WangPublished in: Pattern Recognit. (2008)
Keyphrases
- generalization error
- feature selection
- rbfnn
- model selection
- learning algorithm
- supervised learning
- sensitivity analysis
- generalization ability
- cross validation
- function approximation
- rbf neural network
- rbf network
- upper bound
- machine learning
- active learning
- radial basis function
- neural network
- training set
- training data
- hybrid algorithm
- support vector
- sample size
- hidden layer
- hybrid method
- pattern classification
- support vector machine
- text categorization
- feature extraction
- back propagation
- feature space
- semi supervised
- reinforcement learning
- learning tasks
- text classification
- dimensionality reduction
- feature set
- classification accuracy
- dimension reduction
- feature subset
- knn
- particle swarm optimization
- lower bound
- data sets
- learning rate
- machine learning methods
- semi supervised learning