Transfer Learning on Decision Tree with Class Imbalance.
Ludovic MinvielleMounir AtiqSergio PeignierMathilde MougeotPublished in: ICTAI (2019)
Keyphrases
- class imbalance
- transfer learning
- decision trees
- active learning
- machine learning algorithms
- machine learning
- class distribution
- labeled data
- training set
- learning tasks
- cost sensitive
- naive bayes
- transfer knowledge
- unlabeled data
- training data
- cross domain
- semi supervised learning
- learning algorithm
- supervised learning
- reinforcement learning
- feature selection
- text classification
- high dimensionality
- logistic regression
- multi task
- semi supervised
- information gain
- text categorization
- training examples
- misclassification costs
- attribute selection
- target domain
- data sets
- natural language processing
- classification models
- learning problems
- data analysis
- feature space
- learning process
- training samples
- feature set