Integrated classifier hyperplane placement and feature selection.
John W. ChinneckPublished in: Expert Syst. Appl. (2012)
Keyphrases
- hyperplane
- feature selection
- feature space
- support vector
- support vector machine
- linear classifiers
- training samples
- decision boundary
- svm classifier
- feature set
- binary classifiers
- kernel function
- input space
- data points
- feature subset
- feature selection algorithms
- maximal margin
- classification accuracy
- linear svm
- linearly separable
- kernel methods
- selected features
- principal components
- classification procedure
- incremental learning algorithm
- dimensionality reduction
- training set
- multi class
- machine learning
- training data
- training examples
- text categorization
- data sets
- feature extraction
- pattern recognition
- knn
- text classification
- support vectors
- k nearest neighbor
- radial basis function
- convex hull
- naive bayes
- input data
- principal component analysis
- decision trees
- multi task
- model selection
- semi supervised
- feature vectors
- learning algorithm
- data mining