Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost.
Enrique RomeroLluís MàrquezXavier CarrerasPublished in: Neurocomputing (2004)
Keyphrases
- margin maximization
- support vector
- feed forward neural networks
- back propagation
- neural network
- multi layer
- extreme learning machine
- feed forward
- support vector machine
- artificial neural networks
- hidden layer
- activation function
- svm classifier
- basis functions
- radial basis function
- feature selection
- kernel function
- kernel methods
- multi class
- metric learning
- learning algorithm
- neural nets
- fuzzy inference system
- pairwise
- support vector machine svm
- recurrent neural networks
- linear combination
- semi supervised learning
- learning rate
- object detection
- fuzzy logic
- knn
- decision trees