Rule Extraction for Support Vector Machine Using Input Space Expansion.
Prasan PitiranggonNunthika BenjathepanunSomsri BanditvilaiVeera BoonjingPublished in: ACIIDS (2) (2011)
Keyphrases
- input space
- rule extraction
- support vector machine
- kernel function
- hyperplane
- feature space
- feature selection
- k nearest neighbor
- training set
- rough sets
- neural network
- black box
- support vector
- fuzzy rules
- knn
- dimensionality reduction
- rough set theory
- classification rules
- multi class
- association rules
- kernel methods
- svm classifier
- input data
- low dimensional
- decision rules
- machine learning
- data points
- training data
- high dimensional
- high dimensional data
- class labels
- feature vectors
- decision boundary
- receptive fields
- data sets
- rule sets
- pattern recognition
- membership functions
- classification algorithm
- maximum margin
- nearest neighbor
- small sample
- classification accuracy
- computer vision