Parallel Support Vector Machines: The Cascade SVM.
Hans Peter GrafEric CosattoLéon BottouIgor DurdanovicVladimir VapnikPublished in: NIPS (2004)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- support vector machine
- svm classifier
- kernel function
- binary classification
- identical machines
- loss function
- maximum margin
- multi class classification
- multi class
- support vectors
- feature selection
- svm classification
- logistic regression
- hyperplane
- classification accuracy
- radial basis function
- support vector regression
- generalization ability
- cross validation
- support vector machine svm
- kernel parameters
- parallel processing
- rbf kernel
- shared memory
- reduced set
- training examples
- decision function
- generalization bounds
- structural risk minimization
- soft margin
- kernel methods
- pattern recognition
- parallel computing
- ls svm
- parallel implementation
- knn
- feature vectors
- face recognition
- learning algorithm
- sequential minimal optimization
- machine learning