Width optimization of RBF kernels for binary classification of support vector machines: A density estimation-based approach.
Murilo V. F. MenezesLuiz C. B. TorresAntônio P. BragaPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- binary classification
- support vector
- density estimation
- kernel function
- support vector machine
- mixture model
- kernel methods
- multiple kernel learning
- probability density function
- multi class
- reproducing kernel hilbert space
- cross validation
- outlier detection
- learning problems
- hyperplane
- gaussian mixture model
- classification accuracy
- feature selection
- loss function
- multi label
- training examples
- neural network
- expectation maximization
- generalization error
- upper bound
- support vectors
- svm classifier
- support vector machine svm
- em algorithm
- face recognition