Semi-Supervised Learning with Ensemble Self-Training for Cancer Classification.
Qing-Yong WangLiang-Yong XiaHua ChaiYun ZhouPublished in: SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Keyphrases
- semi supervised learning
- cancer classification
- random forest
- co training
- unlabeled data
- semi supervised
- gene selection
- feature selection
- microarray
- training data
- ensemble methods
- decision trees
- gene expression data
- labeled data
- microarray data
- supervised learning
- unsupervised learning
- machine learning
- training set
- gene expression profiles
- text categorization
- semi supervised classification
- active learning
- base classifiers
- fold cross validation
- feature set
- neural network
- gene expression
- learning algorithm
- multi label
- data sets
- abundant unlabeled data