Kernel classification using a linear programming approach.
Alexander M. MalyscheffTheodore B. TrafalisPublished in: Ann. Math. Artif. Intell. (2020)
Keyphrases
- linear programming
- support vector
- classification accuracy
- feature space
- automatic classification
- classification scheme
- decision trees
- pattern recognition
- image classification
- text classification
- feature vectors
- neural network
- linear program
- classification algorithm
- classification systems
- classification process
- machine learning
- classification models
- pattern classification
- classification method
- class labels
- np hard
- training samples
- multiple kernel learning
- feature selection
- supervised learning
- multi class
- dynamic programming
- object classification
- kernel learning
- kernel machines
- decision rules
- benchmark datasets
- support vector machine svm
- model selection
- feature extraction
- learning algorithm