Bagging based ensemble transfer learning.
Xiaobo LiuGuangjun WangZhihua CaiHarry ZhangPublished in: J. Ambient Intell. Humaniz. Comput. (2016)
Keyphrases
- transfer learning
- ensemble methods
- ensemble learning
- base classifiers
- ensemble members
- ensemble classification
- ensemble selection
- random forests
- classifier ensemble
- labeled data
- imbalanced data
- unlabeled data
- random forest
- learning tasks
- majority voting
- ensemble classifier
- knowledge transfer
- learning algorithm
- decision trees
- machine learning
- machine learning algorithms
- active learning
- cross domain
- reinforcement learning
- collaborative filtering
- semi supervised learning
- multi task learning
- multi task
- transfer knowledge
- training set
- manifold alignment
- generalization error
- neural network
- text categorization
- text classification
- domain adaptation
- transferring knowledge
- multi class
- data points
- naive bayes
- target domain
- text mining
- semi supervised
- cross domain learning
- data sets
- feature selection
- similarity measure
- information extraction
- supervised learning
- natural language processing
- weak classifiers
- feature set