The convergence rate of linearly separable SMO.
Jorge López LázaroJosé R. DorronsoroPublished in: IJCNN (2013)
Keyphrases
- convergence rate
- linearly separable
- linear separability
- input space
- hyperplane
- linear classifiers
- support vectors
- learning rate
- feature space
- high dimensional feature space
- decision boundary
- infinite dimensional
- svm classifier
- quadratic programming
- decomposition methods
- kernel function
- data points
- convex hull
- positive definite
- k nearest neighbor
- training set
- linear svm
- neural network
- feature vectors
- feature selection
- data sets
- learning algorithm
- sample set
- machine learning