Kernel ensemble support vector machine with integrated loss in shared parameters space.
YuRen WuXiang-Jun ShenStanley Ebhohimhen AbhadiomhenYang YangJi-Nan GuPublished in: Multim. Tools Appl. (2023)
Keyphrases
- machine learning
- support vector machine
- kernel methods
- kernel parameters
- kernel function
- feature selection
- parameter space
- support vector machine svm
- polynomial kernels
- optimal parameter values
- input space
- maximum likelihood
- parameter values
- svm classifier
- reproducing kernel hilbert space
- multi class
- classification algorithm
- training set
- support vector
- neural network
- optimal parameters
- ensemble classifier
- hyperplane
- kernel pca
- gaussian kernel
- kernel space
- parameter estimation
- training data
- parameter selection
- feature space
- linearly separable
- decision function
- majority voting
- data sets