Interpretability improvement of fuzzy rule-based classifiers via rule compression.
Andri RiidJürgo-Sören PredenPublished in: IFSA-EUSFLAT (2015)
Keyphrases
- majority vote
- rule induction algorithm
- training data
- nearest neighbour
- decision trees
- machine learning algorithms
- compression scheme
- linear classifiers
- fuzzy rules
- image compression
- complexity reduction
- multiple classifiers
- training set
- supervised classification
- rule base
- naive bayes
- rule sets
- classification systems
- svm classifier
- compression ratio
- prediction accuracy
- classifier ensemble
- classification method
- classification rules
- classification models
- data compression
- fuzzy model
- compression algorithm
- class labels
- classifier combination
- support vector
- feature set