SVM optimization algorithm based on dynamic clustering and ensemble learning for large scale dataset.
Shiyu ShuLihong RenYongsheng DingKuangrong HaoRui JiangPublished in: SMC (2014)
Keyphrases
- optimization algorithm
- ensemble learning
- generalization ability
- multi objective
- bp neural network
- support vector machine svm
- ensemble classifier
- optimization method
- ensemble methods
- clustering algorithm
- support vector
- support vector machine
- differential evolution
- feature selection
- mutual subspace method
- weak learners
- learning algorithm
- artificial bee colony
- multi class
- svm classifier
- knn
- evolutionary algorithm
- pairwise
- base classifiers
- concept drift
- machine learning
- semi supervised learning
- genetic algorithm
- objective function
- training set
- random forest
- feature vectors
- prediction accuracy
- high dimensional data
- unsupervised learning
- text categorization