Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters.
Jae H. MinYoung-Chan LeePublished in: Expert Syst. Appl. (2005)
Keyphrases
- kernel function
- support vector machine
- optimal kernel
- bankruptcy prediction
- kernel parameters
- optimal parameters
- kernel methods
- support vector
- feature space
- svm classifier
- support vector regression
- multi class
- input space
- svm classification
- hyperplane
- support vector machine svm
- kernel learning
- support vectors
- polynomial kernels
- learning vector quantization
- neural network
- high dimensional feature space
- machine learning
- kernel matrix
- feature set
- multiple kernel learning
- high dimensional
- feature selection
- kernel machines
- kernel principal component analysis
- gaussian kernels
- financial ratios
- cost sensitive
- original data
- radial basis function
- privacy preserving
- feature vectors
- training set
- training data
- similarity measure
- image processing