Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation.
Dong HuangChang-Dong WangJian-Huang LaiYun LiangShan BianYu ChenPublished in: ICPR (2016)
Keyphrases
- ensemble learning
- parameter estimation
- support vector clustering
- ensemble methods
- maximum likelihood
- generalization ability
- model selection
- least squares
- markov random field
- parameter estimation algorithm
- em algorithm
- base classifiers
- random forest
- ensemble classifier
- ensemble feature selection
- concept drift
- expectation maximization
- structure learning
- weak learners
- prediction accuracy
- neural network
- machine learning methods
- text classification
- base learners
- feature selection
- graph cuts
- random forests
- higher order
- weighted voting
- decision trees