Training of a ML neural network for classification via recursive reduction of the class separation.
Mayer AladjemPublished in: ICPR (1998)
Keyphrases
- neural network
- training process
- multi layer perceptron
- pattern recognition
- training set
- learning vector quantization
- class labels
- training patterns
- training phase
- training samples
- training algorithm
- supervised learning
- support vector machine
- pattern classification
- classification performances
- classification accuracy
- multi class classification
- feed forward neural networks
- class imbalance
- train a neural network
- multiclass classification
- neural network model
- training data
- feature space
- learning algorithm
- linear svm
- decision trees
- feature extraction
- feature selection
- training speed
- nearest neighbour
- recursive functions
- neural network structure
- class imbalanced
- maximum likelihood
- support vector machine svm
- classification method
- incremental learning
- back propagation
- classification algorithm
- classification rules
- genetic algorithm
- multiple classes
- feedforward neural networks
- class specific
- learning machines
- knn
- multi class
- data reduction
- training examples