Kernel Construction and Feature Subset Selection in Support Vector Machines.
Shinichi YamadaKourosh NeshatianPublished in: SEAL (2017)
Keyphrases
- feature subset selection
- support vector
- feature selection
- large margin classifiers
- learning machines
- kernel function
- kernel methods
- feature subset
- support vector machine
- kernel machines
- classification accuracy
- feature ranking
- loss function
- rbf kernel
- estimation of distribution algorithms
- feature space
- mutual information
- svm classifier
- selection algorithm
- support vectors
- multiple kernel learning
- cross validation
- selected features
- training examples
- multi class
- decision function
- image processing
- genetic algorithm
- genetic programming
- computer vision
- pattern recognition
- artificial neural networks
- feature vectors
- pattern classification
- machine learning
- text categorization