A Generalized Quadratic Loss for SVM and Deep Neural Networks.
Filippo PorteraPublished in: LOD (1) (2020)
Keyphrases
- neural network
- support vector
- support vector machine svm
- training algorithm
- support vector machine
- training process
- multi class
- pairwise
- knn
- back propagation
- pattern recognition
- machine learning
- radial basis function
- extreme learning machine
- fuzzy logic
- kernel function
- svm classifier
- decision function
- kernel methods
- feature vectors
- feature selection
- generalization ability
- svm classification
- multi layer perceptron
- objective function
- k nearest neighbor
- hyperplane
- bp neural network
- neural network model
- artificial neural networks
- cost sensitive
- multilayer perceptron
- neural nets
- feed forward
- hidden layer
- training data
- rbf network
- ls svm
- feature space
- convex functions
- fault diagnosis
- genetic algorithm
- training speed
- multi class svm