An Upper-Bound on the Required Size of a Neural Network Classifier.
Hossein ValaviPeter J. RamadgePublished in: ICASSP (2018)
Keyphrases
- upper bound
- neural network
- lower bound
- fuzzy artmap
- learning vector quantization
- probabilistic neural network
- branch and bound algorithm
- worst case
- constant factor
- training process
- pattern recognition
- error probability
- backpropagation neural network
- feature selection
- feature space
- decision trees
- training data
- training examples
- back propagation
- svm classifier
- neural network model
- support vector
- multi layer perceptron
- lower and upper bounds
- data sets
- fuzzy logic
- learning algorithm
- optimal solution
- classifier systems
- learning classifier systems
- classification scheme
- generalization error
- bp neural network
- radial basis function
- false positives
- artificial neural networks