Information-Theoretic Variable Selection in Neural Networks.
Ryotaro KamimuraFumihiko YoshidaYamashita ToshieRyozo KitajimaPublished in: FOCI (2007)
Keyphrases
- information theoretic
- variable selection
- neural network
- mutual information
- competitive learning
- information theory
- input variables
- cross validation
- high dimensional
- theoretic framework
- model selection
- dimension reduction
- pattern recognition
- jensen shannon divergence
- information bottleneck
- multi modality
- information theoretic measures
- artificial neural networks
- feature selection
- fuzzy logic
- selection criterion
- high dimensional data
- feature space
- text categorization
- dimensionality reduction
- multi class
- computer vision
- data sets