Linear supervised transfer learning for the large margin nearest neighbor classifier.
Kolja BergerAlexander SchulzBenjamin PaaßenBarbara HammerPublished in: SSCI (2017)
Keyphrases
- transfer learning
- nearest neighbor classifier
- labeled data
- learning algorithm
- semi supervised
- training samples
- supervised learning
- grassmann manifold
- learning tasks
- machine learning
- label information
- cross domain
- unlabeled data
- dynamic time warping
- nearest neighbor
- distance measure
- knowledge transfer
- active learning
- reinforcement learning
- stochastic gradient
- semi supervised learning
- labeled and unlabeled data
- manifold alignment
- target domain
- text classification
- transfer knowledge
- machine learning algorithms
- text categorization
- collaborative filtering
- multi task
- unsupervised learning
- domain adaptation
- training data
- support vector
- euclidean distance
- neural network
- hyperplane
- information extraction
- pattern recognition
- maximum margin
- decision trees
- loss function
- feature selection
- feature space
- pairwise
- data mining