The training of neural classifiers with condensed datasets.
Se-Ho ChoiPeter I. RockettPublished in: IEEE Trans. Syst. Man Cybern. Part B (2002)
Keyphrases
- training set
- linear svm
- training and testing data
- trained classifiers
- test set
- training examples
- training samples
- training data
- text classification tasks
- training dataset
- neural classifier
- accurate classifiers
- neural network
- multi layer perceptron
- classifier training
- support vector
- associative classifiers
- discriminative classifiers
- text classification
- training process
- sufficient training data
- network architecture
- supervised training
- multi class
- boosted classifiers
- labeled training data
- recurrent networks
- training algorithm
- data sets
- test data
- machine learning algorithms
- logistic regression
- ground truth labels
- class imbalanced
- feature selection
- decision trees
- training set size
- face detection
- text classifiers
- linear classifiers
- class labels
- benchmark datasets
- svm classifier
- binary classification problems
- naive bayes
- text categorization
- classification performances
- feature set
- active learning
- feature extraction
- decision boundary
- classification algorithm
- learning algorithm
- feature selection algorithms