Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier.
T. Tony CaiHongji WeiPublished in: CoRR (2019)
Keyphrases
- transfer learning
- text classification
- classification algorithm
- knowledge transfer
- machine learning
- learning tasks
- support vector
- support vector machine
- decision trees
- feature selection
- labeled data
- neyman pearson
- class labels
- feature space
- machine learning algorithms
- training samples
- cross domain learning
- co training
- classification accuracy
- label information
- labeled and unlabeled data
- reinforcement learning
- collaborative filtering
- feature set
- decision boundary
- cross domain
- data sets
- learning algorithm
- transfer knowledge
- multi task
- training set
- semi supervised learning
- training data
- sample selection bias
- text categorization
- target domain
- active learning
- text mining
- manifold alignment
- domain adaptation
- unsupervised learning
- multi task learning
- supervised learning
- semi supervised
- training and test data
- unlabeled data
- feature extraction
- prior knowledge
- learning problems