A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin.
Manuel Fernández DelgadoJorge RibeiroEva CernadasSenén BarroPublished in: IJCNN (2010)
Keyphrases
- support vector
- classification accuracy
- decision boundary
- classification algorithm
- training set
- feature selection
- classification method
- peer to peer
- linear combination
- soft margin
- maximum margin
- network traffic
- image classification
- machine learning
- decision trees
- complex networks
- hidden nodes
- generalization error
- generalization ability
- feature extraction
- feature set
- pattern recognition
- cross validation
- support vector machine
- network structure
- feature space
- computer networks
- parallel processing
- support vector machine svm
- neural network
- text classification
- learning algorithm
- feature vectors
- training error