Transfer learning in classification based on manifolc. models and its relation to tangent metric learning.
Sascha SaralajewThomas VillmannPublished in: IJCNN (2017)
Keyphrases
- transfer learning
- metric learning
- learning tasks
- multi task
- machine learning algorithms
- distance metric learning
- text classification
- multi task learning
- machine learning
- learning models
- pattern recognition
- model selection
- feature space
- learning problems
- labeled data
- pairwise
- neural network
- collaborative filtering
- decision trees
- supervised learning
- cross domain
- feature selection
- active learning
- distance metric
- feature extraction
- kernel function
- reinforcement learning
- support vector
- unlabeled data
- dimensionality reduction
- multi class
- support vector machine
- prior knowledge