Effect of the Feature Vector Size on the Generalization Error: The Case of MLPNN and RBFNN Classifiers.
Jihène El MalekRached TourkiAdel M. AlimiPublished in: ICPR (2000)
Keyphrases
- generalization error
- feature vectors
- training set
- training data
- rbfnn
- multi layer perceptron
- cross validation
- multilayer perceptron
- learning algorithm
- neural network
- feature set
- model selection
- radial basis function
- svm classifier
- active learning
- upper bound
- sample size
- rbf neural network
- supervised learning
- boosting algorithms
- function approximation
- feature space
- hybrid algorithm
- extracted features
- reinforcement learning
- sensitivity analysis
- euclidean distance
- back propagation
- support vector machine
- support vector
- machine learning algorithms
- data mining
- generalization ability
- decision trees
- machine learning