Feature interval learning algorithms for classification.
Aynur A. DayanikPublished in: Knowl. Based Syst. (2010)
Keyphrases
- learning algorithm
- feature vectors
- machine learning
- supervised learning
- machine learning algorithms
- classification accuracy
- pattern classification
- decision rules
- feature analysis
- machine learning methods
- pattern recognition
- training samples
- image classification
- classification scheme
- feature set
- decision trees
- generalization ability
- discriminative features
- feature extraction
- feature values
- classification algorithm
- training data
- feature space
- classification systems
- classification models
- learning problems
- classification rules
- cross validation
- class labels
- decision tree learning
- support vector machine svm
- feature weights
- model selection
- text classification
- support vector machine
- feature ranking
- inductive learning algorithms
- learning models
- back propagation
- kernel function
- semi supervised learning
- image features
- preprocessing
- support vector
- feature selection