Combining random forest and support vector machines for semi-supervised learning.
Christos K. AridasSotiris B. KotsiantisPublished in: Panhellenic Conference on Informatics (2015)
Keyphrases
- semi supervised learning
- random forest
- support vector
- semi supervised
- random forests
- unlabeled data
- labeled data
- machine learning
- feature set
- decision trees
- supervised learning
- unsupervised learning
- classification accuracy
- feature selection
- ensemble methods
- text categorization
- fold cross validation
- active learning
- training data
- multi label
- kernel function
- neural network
- ensemble learning
- logistic regression
- support vector machine
- generalization ability
- training examples
- svm classifier
- base classifiers
- model selection
- labeled and unlabeled data