SMO Lattices for the Parallel Training of Support Vector Machines.
Markus KächeleGünther PalmFriedhelm SchwenkerPublished in: ESANN (2015)
Keyphrases
- learning machines
- support vector
- sequential minimal optimization
- svm classifier
- training examples
- support vectors
- support vector machine
- kernel function
- large margin classifiers
- training support vector machines
- training algorithm
- training set
- classification accuracy
- logistic regression
- parallel processing
- training process
- training phase
- training samples
- svm training
- support vector machine svm
- small number
- identical machines
- standard svm
- multi class
- generalization ability
- kernel methods
- supervised learning
- parallel computing
- parallel machines
- massively parallel
- maximum margin
- base classifiers
- hyperplane
- cross validation
- data sets