Filter-Based Information-Theoretic Feature Selection.
Farinaz PishehRicardo VilaltaPublished in: ICAAI (2019)
Keyphrases
- information theoretic
- mutual information
- feature selection
- information theory
- theoretic framework
- information bottleneck
- jensen shannon divergence
- kullback leibler divergence
- distributional clustering
- entropy measure
- multi modality
- text categorization
- feature selection algorithms
- feature set
- machine learning
- information theoretic measures
- log likelihood
- relative entropy
- image registration
- classification accuracy
- text classification
- minimum description length
- noise reduction
- image segmentation
- dimensionality reduction
- kl divergence
- support vector
- jensen shannon
- computational learning theory
- feature ranking
- feature subset
- multi class
- knn
- high dimensional
- feature space
- bayesian networks
- computer vision