Reducing the Training Times of Neural Classifiers with Dataset Condensing.
Se-Ho ChoiPeter I. RockettPublished in: SSPR/SPR (2000)
Keyphrases
- training set
- test set
- training examples
- object detectors
- training samples
- training dataset
- text classification tasks
- feature set
- training data
- fold cross validation
- neural classifier
- neural network
- supervised learning
- decision trees
- classifier training
- training process
- support vector
- text classification
- training and test sets
- discriminative classifiers
- class labels
- labeled training data
- training and testing data
- boosted classifiers
- test data
- recurrent networks
- linear svm
- training set size
- training phase
- training algorithm
- classification models
- classification algorithm
- supervised training
- trained classifiers
- feature selection and classifier
- ensemble classifier
- decision boundary
- weak classifiers
- multi layer perceptron
- linear classifiers
- machine learning algorithms
- naive bayes
- classification accuracy
- active learning