Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy.
Yu ZhangZhuoyi LinChee Keong KwohPublished in: ICCS (5) (2020)
Keyphrases
- information theory
- feature selection
- jensen shannon divergence
- information theoretic
- mutual information
- statistical mechanics
- similarity measure
- relative entropy
- statistical learning
- conditional entropy
- kullback leibler divergence
- machine learning
- feature space
- statistical physics
- feature selection algorithms
- mdl principle
- distance function
- distance measure
- multi class
- classification accuracy
- feature extraction
- shannon entropy
- dimensionality reduction
- support vector