A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling.
Benjamin BryantHamed Sari-SarrafL. Rodney LongSameer K. AntaniPublished in: BDCAT (2017)
Keyphrases
- support vector machine
- svm classifier
- kernel function
- kernel methods
- support vector
- training set
- multi class
- feature space
- svm classification
- feature vectors
- support vector machine svm
- training process
- decision function
- data sets
- svm training
- histogram intersection kernel
- gaussian kernel
- kernel machines
- multi layer perceptron
- random sampling
- monte carlo
- generalization ability
- kernel matrix
- multiple kernel learning
- sampling methods
- hyperplane
- input space
- multilayer perceptron
- training procedure
- classification method
- multi class support vector machines
- artificial neural networks