Information-Theoretic Feature Selection Using High-Order Interactions.
Mateusz PawlukPawel TeisseyreJan MielniczukPublished in: LOD (2018)
Keyphrases
- high order
- information theoretic
- mutual information
- feature selection
- information theory
- higher order
- theoretic framework
- jensen shannon divergence
- low order
- information theoretic measures
- pairwise
- kullback leibler divergence
- similarity measure
- information bottleneck
- distributional clustering
- lower order
- log likelihood
- text categorization
- model selection
- markov random field
- multi class
- relative entropy
- dimensionality reduction
- machine learning
- classification accuracy
- text classification
- image processing
- kl divergence
- support vector machine
- feature space
- jensen shannon
- feature extraction
- tensor analysis
- pattern recognition
- entropy measure
- image registration
- feature selection algorithms
- data representation
- feature set
- unsupervised learning