Comparative survey on SVM kernel's performance for classification used in IDS.
Bipul Kumar DasAchyuth SarkarPublished in: ICCCNT (2023)
Keyphrases
- support vector
- support vector machine svm
- support vector machine
- svm classification
- svm classifier
- classification method
- feature space
- kernel function
- classification accuracy
- feature vectors
- least squares support vector machine
- feature selection
- histogram intersection kernel
- classification algorithm
- generalization ability
- feature extraction
- ls svm
- kernel machines
- high classification accuracy
- multiple kernel learning
- improves the classification accuracy
- support vectors
- mercer kernel
- training set
- pattern recognition
- kernel methods
- partially supervised
- support vector machine classifiers
- hyperplane
- kernel parameters
- training data
- rbf kernel
- text classification
- decision function
- kernel space
- decision trees
- tree kernels
- standard svm
- polynomial kernels
- decision boundary
- linearly separable
- string kernels
- knn
- classification and regression problems
- k nearest neighbor
- image classification
- supervised learning
- machine learning
- multi class svm
- text classifiers
- fuzzy support vector machine
- gaussian kernel
- multi class classification
- binary classification
- training process
- high dimensional
- training samples
- multi class