The Rough Granular Approach to Classifier Synthesis by Means of SVM.
Jacek SzypulskiPiotr ArtiemjewPublished in: RSFDGrC (2015)
Keyphrases
- support vector
- svm classifier
- support vector machine
- rough sets
- classification algorithm
- training data
- feature selection
- support vector machine svm
- classification method
- feature space
- training set
- text classifiers
- svm classification
- high classification accuracy
- decision boundary
- feature reduction
- multi class svm
- fold cross validation
- decision forest
- bayes classifier
- decision trees
- multiple kernel learning
- decision function
- multi class
- knn
- input features
- fuzzy support vector machine
- train a support vector machine
- learning algorithm
- training examples
- training process
- classification accuracy
- image classification
- discriminative classifiers
- linear svm
- kernel function
- linear classifiers
- small sample
- multiclass classification
- hyperplane
- ensemble learning
- k nearest neighbor
- ensemble classifier
- text classification
- granular computing
- fuzzy sets
- highest accuracy
- face recognition
- neural network