Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach.
Zachary WilkersonDavid LeakeVibhas VatsDavid CrandallPublished in: ICCBR (2024)
Keyphrases
- transfer learning
- neural network
- case based reasoning
- learning tasks
- knowledge transfer
- cross domain
- machine learning
- domain adaptation
- reinforcement learning
- prior knowledge
- active learning
- manifold alignment
- feature space
- feature vectors
- feature extraction
- labeled data
- text categorization
- logistic regression
- learning environment
- information retrieval
- multi task learning
- transfer knowledge
- data mining