Feature Selection in Hierarchical Feature Spaces.
Petar RistoskiHeiko PaulheimPublished in: Discovery Science (2014)
Keyphrases
- feature space
- feature selection
- feature set
- high dimensionality
- dimensionality reduction
- high dimensional
- hierarchical classification
- text categorization
- feature vectors
- classification accuracy
- mutual information
- feature subspace
- image representation
- training samples
- hyperplane
- selected features
- irrelevant features
- method for feature selection
- input data
- multi class
- training set
- support vector
- feature extraction
- unsupervised learning
- model selection
- kernel function
- kernel methods
- text classification
- coarse to fine
- classification models
- machine learning