Robust weighted linear loss twin multi-class support vector regression for large-scale classification.
Wenwen QiangJinxin ZhangLing ZhenLing JingPublished in: Signal Process. (2020)
Keyphrases
- boosting algorithms
- multi class
- support vector regression
- support vector machine
- cost sensitive
- multi class boosting
- support vector machine svm
- support vector
- multiclass classification
- binary classification
- binary and multi class
- multi class classification
- binary classifiers
- multi class classifier
- multiple classes
- support vector classification
- multi class svms
- multiclass problems
- svm classifier
- feature selection
- kernel function
- multi class svm
- single class
- base classifiers
- regression model
- feature vectors
- binary classification problems
- hybrid model
- generalization ability
- training set
- machine learning
- kernel learning
- binary classification tasks
- error correcting output codes
- active learning
- feature space
- multi class problems
- classification accuracy
- protein classification
- pairwise
- training data
- computer vision
- probabilistic boosting tree
- kernel methods
- multi label classification