Information-Theoretic Feature Selection for the Classification of Hysteresis Curves.
Vanessa Gómez-VerdejoMichel VerleysenJérôme FleuryPublished in: IWANN (2007)
Keyphrases
- information theoretic
- feature selection
- mutual information
- information theory
- classification accuracy
- theoretic framework
- jensen shannon divergence
- feature set
- feature extraction
- text classification
- information bottleneck
- entropy measure
- support vector
- information theoretic measures
- multi modality
- machine learning
- feature space
- support vector machine
- text categorization
- feature vectors
- image registration
- multi class
- image classification
- model selection
- unsupervised learning
- relative entropy
- feature subset
- decision trees
- training set
- log likelihood
- knn
- naive bayes
- minimum description length
- data mining
- probabilistic model
- kl divergence
- kullback leibler divergence
- feature selection algorithms
- supervised learning
- svm classifier
- dimensionality reduction