Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression.
Shuihua WangTianming ZhanYi ChenYin ZhangMing YangHuimin LuHainan WangBin LiuPreetha PhillipsPublished in: IEEE Access (2016)
Keyphrases
- logistic regression
- wavelet transform
- kernel principal component analysis
- multiple sclerosis
- support vector
- feature extraction
- multiresolution
- multiscale
- wavelet filters
- kernel methods
- decision trees
- radial basis function
- naive bayes
- kernel function
- kernel pca
- loss function
- support vector machine svm
- breast cancer
- discriminant analysis
- support vector machine
- linear discriminant analysis
- feature space
- neural network
- basis functions
- principal component analysis
- magnetic resonance images
- text classification
- principal components
- training data
- feature selection