Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation.
Dong HuangChang-Dong WangJian-Huang LaiYun LiangShan BianYu ChenPublished in: CoRR (2016)
Keyphrases
- ensemble learning
- parameter estimation
- support vector clustering
- ensemble methods
- maximum likelihood
- least squares
- generalization ability
- random forest
- markov random field
- em algorithm
- model selection
- parameter estimation algorithm
- base classifiers
- ensemble feature selection
- ensemble classifier
- expectation maximization
- weak learners
- concept drift
- random forests
- weighted voting
- prediction accuracy
- artificial neural networks
- bp neural network
- machine learning
- multi class
- support vector
- feature selection