Distribution-Based Categorization of Classifier Transfer Learning.
Ricardo Gamelas SousaLuís A. AlexandreJorge M. SantosLuís M. SilvaJoaquim Marques de SáPublished in: CoRR (2017)
Keyphrases
- transfer learning
- training and test data
- text categorization
- labeled data
- learning tasks
- knowledge transfer
- text classification
- training data
- feature selection
- reinforcement learning
- domain adaptation
- cross domain
- semi supervised learning
- learning algorithm
- structure learning
- test data
- active learning
- sample selection bias
- target domain
- machine learning algorithms
- manifold alignment
- unlabeled data
- labeled training data
- machine learning
- semi supervised
- test set
- support vector machine
- transfer knowledge
- multi task learning
- class labels
- multi task
- learning problems
- support vector
- training set
- collaborative filtering
- cross domain learning
- training examples
- co training
- data sets
- text mining
- knn
- feature space
- decision trees
- neural network