Transfer learning in optimization: Interpretable self-organizing maps driven similarity indices to identify candidate source functions.
Suja Shree RavichandranKannan SekarVinay RamanathPalaniappan RamuPublished in: Expert Syst. Appl. (2023)
Keyphrases
- transfer learning
- self organizing maps
- target domain
- learning tasks
- knowledge transfer
- source domain
- neural network
- labeled data
- reinforcement learning
- competitive learning
- semi supervised learning
- cross domain
- neural gas
- machine learning
- similarity measure
- domain adaptation
- text classification
- input data
- text categorization
- previously learned
- unsupervised learning
- manifold alignment
- multi task
- learning algorithm
- active learning
- transfer knowledge
- machine learning algorithms
- vector quantization
- network anomaly detection
- data sets
- unlabeled data
- k means
- decision trees
- feature selection