A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions.
Ying ZhangXizhao WangJunhai ZhaiPublished in: RSFDGrC (2009)
Keyphrases
- classification algorithm
- support vector machine
- karush kuhn tucker
- quadratic programming
- optimality conditions
- k nearest neighbor
- training set
- svm classifier
- classification method
- support vector machine svm
- training phase
- knn
- support vector
- sufficient conditions
- feature space
- feature vectors
- semidefinite programming
- generalization ability
- equality constraints
- machine learning
- stationary points
- training data
- naive bayes
- feature selection
- class labels
- kernel function
- kernel methods
- learning tasks
- hyperplane
- genetic programming
- information extraction
- similarity measure
- neural network