High-dimensional supervised feature selection via optimized kernel mutual information.
Ning BiJun TanJian-Huang LaiChing Y. SuenPublished in: Expert Syst. Appl. (2018)
Keyphrases
- mutual information
- supervised feature selection
- high dimensional
- feature selection
- feature space
- kernel function
- kernel space
- information theoretic
- input space
- dimensionality reduction
- additive models
- low dimensional
- unsupervised learning
- text classification
- support vector
- kernel methods
- image registration
- similarity measure
- feature extraction
- kernel principal component analysis
- classification accuracy
- high dimensional data
- information gain
- neural network
- feature set
- reproducing kernel hilbert space
- data points
- model selection
- machine learning
- feature relevance
- data sets