Using an Hebbian Learning Rule for Multi-Class SVM Classifiers.
Thierry ViévilleSylvie CrahayPublished in: J. Comput. Neurosci. (2004)
Keyphrases
- learning rules
- multi class
- svm classifier
- support vector machine
- support vector machine svm
- neural network
- support vector
- biologically inspired
- artificial neural networks
- training set
- binary classifiers
- image classification
- multi class classification
- feature selection
- multiclass classification
- feature vectors
- back propagation
- learning scheme
- multiclass problems
- kernel function
- binary classification
- machine learning
- hyperplane
- cost sensitive
- knn
- feature space
- svm classification
- support vectors
- fold cross validation
- base classifiers
- k nearest neighbor
- linear classifiers
- pairwise
- multiple classes
- spiking neural networks
- kernel methods
- radial basis function
- semi supervised
- training data
- training algorithm
- fuzzy logic
- multi class classifier