Improving support vector machine classification accuracy based on kernel parameters optimization.
Lubna B. MohammedKaamran RaahemifarPublished in: SpringSim (CNS) (2018)
Keyphrases
- kernel parameters
- support vector machine
- support vector
- classification accuracy
- feature selection
- kernel machines
- kernel methods
- kernel function
- feature space
- feature subset
- training data
- training set
- svm classifier
- multi class
- support vector machine svm
- machine learning
- training process
- support vector regression
- optimization algorithm
- learning algorithm
- gaussian processes
- optimization method
- learning tasks
- text classification
- feature set
- hyperparameters
- feature vectors
- decision boundary
- learning machines
- feature extraction