Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels.
Baek Hwan ChoHwanjo YuJong Shill LeeYoung Joon CheeIn-Young KimSun I. KimPublished in: IEEE Trans. Inf. Technol. Biomed. (2008)
Keyphrases
- factor analysis
- radial basis function
- support vector machine
- rbf kernel
- support vector
- kernel function
- rbf neural network
- kernel methods
- support vector machine svm
- independent component analysis
- rbf network
- neural network
- cluster analysis
- svm classifier
- discriminant analysis
- artificial neural networks
- matrix factorization
- feature space
- basis functions
- data analysis
- kernel pca
- machine learning
- k nearest neighbor
- statistical tests
- training set
- positive definite
- training data
- support vector regression
- principal component analysis
- feature vectors
- linear combination
- feature selection
- feature extraction
- sequential minimal optimization
- cross validation
- genetic algorithm
- support vectors
- decision trees
- similarity measure
- pattern recognition
- pairwise
- image classification