On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks.
Deepak SoekhoePeter van der PuttenAske PlaatPublished in: IDA (2016)
Keyphrases
- transfer learning
- neural network
- data sets
- learning tasks
- knowledge transfer
- labeled data
- reinforcement learning
- cross domain
- semi supervised learning
- transfer knowledge
- structure learning
- active learning
- text classification
- machine learning algorithms
- machine learning
- domain adaptation
- manifold alignment
- multi task
- multi task learning
- target domain
- learning algorithm
- artificial intelligence
- training set
- text mining
- collaborative filtering
- cross domain learning
- algorithmic information theory
- knowledge discovery
- real world
- test data
- nearest neighbor
- information extraction