Using Hierarchical Likelihood Towards Support Vector Machine: Theory and Its Application.
Rezzy Eko CarakaYoungjo LeeRung-Ching ChenToni ToharudinPublished in: IEEE Access (2020)
Keyphrases
- support vector machine
- statistical learning theory
- theoretical framework
- feature selection
- multi class
- multi class support vector machines
- support vector machine svm
- information theory
- hierarchical structure
- hierarchical classification
- theoretical basis
- coarse to fine
- hierarchical clustering
- kernel function
- maximum likelihood
- support vector
- structural risk minimization
- hierarchical model
- posterior probability
- model selection
- training data