Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies.
Jens SchreiberBernhard SickPublished in: CoRR (2022)
Keyphrases
- model selection
- transfer learning
- neural network
- machine learning
- cross validation
- learning tasks
- knowledge transfer
- parameter estimation
- semi supervised learning
- hyperparameters
- sample size
- active learning
- labeled data
- regression model
- cross domain
- transfer knowledge
- multi task learning
- reinforcement learning
- generalization error
- model selection criteria
- multi task
- training and test data
- machine learning algorithms
- learning algorithm
- structure learning
- domain adaptation
- text categorization
- selection criterion
- text classification
- feature selection
- collaborative filtering
- markov random field
- information criterion
- graph cuts
- energy function
- unlabeled data
- kernel matrix
- learning problems
- natural language processing
- principal component analysis
- text mining