Feedforward neural networks for Bayes-optimal classification: investigations into the influence of the composition of the training set on the cost function.
Axel DoeringHerbert WittePublished in: ICPR (1996)
Keyphrases
- training set
- cost function
- feedforward neural networks
- bayes optimal
- classification accuracy
- classification algorithm
- supervised learning
- training data
- class labels
- support vector machine
- pattern recognition
- decision trees
- generalization error
- feature space
- cross validation
- feature extraction
- training samples
- active learning
- svm classifier
- input space
- data sets
- version space
- machine learning
- support vector
- feature selection
- back propagation
- training examples
- text classification
- nearest neighbor
- training phase
- small number