Training of neural network classifier by combining hyperplane with exemplar approach.
Hahn-Ming LeeWeng-Tang WangPublished in: ICNN (1993)
Keyphrases
- hyperplane
- training samples
- training set
- neural network
- linear classifiers
- training process
- linear svm
- support vector machine
- feature space
- decision boundary
- support vector
- svm classifier
- training algorithm
- multi layer perceptron
- training data
- supervised learning
- training examples
- standard svm
- maximal margin
- learning algorithm
- input space
- data points
- training dataset
- decision function
- linearly separable
- incremental learning algorithm
- classification procedure
- kernel function
- active learning
- artificial neural networks
- support vectors
- machine learning
- reduced set
- high dimensional
- back propagation
- pattern recognition
- feature selection
- classification accuracy
- radial basis function
- kernel methods
- kernel matrix
- convex hull
- face images