Feature selection based on the training set manipulation.
Pavel KrízekJosef KittlerVáclav HlavácPublished in: ICPR (2) (2006)
Keyphrases
- training set
- feature selection
- classification accuracy
- feature space
- support vector machine
- test set
- text categorization
- supervised learning
- training data
- feature subset
- data sets
- feature selection algorithms
- mutual information
- cross validation
- irrelevant features
- classification algorithm
- naive bayes
- training samples
- neural network
- feature set
- support vector
- nearest neighbor
- class distribution
- decision trees
- active learning
- unsupervised feature selection
- machine learning
- training patterns
- classification error
- selected features
- multi class
- knn
- test data
- training set size
- high dimensionality
- model selection
- informative features
- class imbalance
- selecting relevant features
- test images
- svm classifier
- error rate
- training examples
- principal component analysis
- dimensionality reduction
- unlabeled data
- unsupervised learning
- text classification