Sparse and heuristic support vector machine for binary classifier and regressor fusion.
Jinhong HuangZhu Liang YuZhenghui GuJun ZhangLing CenPublished in: Int. J. Mach. Learn. Cybern. (2019)
Keyphrases
- support vector machine
- svm classifier
- multi class svm
- multi class
- binary classifiers
- reduced set
- training data
- support vector
- classification method
- feature selection
- decision boundary
- regression method
- high classification accuracy
- binary classification problems
- data fusion
- training set
- decision forest
- binary classification
- information fusion
- classifier combination
- small sample
- feature space
- classification algorithm
- machine learning
- classifier fusion
- optimal solution
- svm classification
- search algorithm
- data sets
- soft margin
- fusion process
- support vectors
- support vector machine svm
- knn
- tabu search
- feature vectors
- unseen data
- learning algorithm
- majority voting
- decision trees
- k nearest neighbor
- multi class classification
- sparse representation
- fusion method
- ensemble classifier
- kernel function
- multiple features
- high dimensional
- error correcting output codes
- hyperplane
- multi sensor
- decision function
- feature extraction
- face recognition
- feature set
- simulated annealing