Linear and Kernel Classification: When to Use Which?
Hsin-Yuan HuangChih-Jen LinPublished in: SDM (2016)
Keyphrases
- support vector
- pattern recognition
- classification method
- linearly separable
- class separability
- feature space
- support vector machine
- machine learning
- classification scheme
- automatic classification
- pattern classification
- supervised learning
- classification accuracy
- text classification
- support vector machine svm
- decision trees
- feature extraction
- feature vectors
- classification models
- neural network
- least squares support vector machine
- preprocessing
- decision rules
- svm classifier
- benchmark datasets
- machine learning algorithms
- image classification
- classification algorithm
- multiple kernel learning
- kernel learning
- svm classification
- discriminant function
- feature selection
- regularized least squares