Using Transfer Learning for Quality Improved Forecasting of Temporal Agricultural Processes by Adapting Convolutional Neural Networks.
Alexander MünzbergChristian TroostAnsgar BernardiPublished in: GI-Jahrestagung (2022)
Keyphrases
- transfer learning
- convolutional neural networks
- learning tasks
- knowledge transfer
- labeled data
- cross domain
- reinforcement learning
- structure learning
- machine learning
- text classification
- text categorization
- multi task learning
- collaborative filtering
- convolutional network
- manifold alignment
- transfer knowledge
- machine learning algorithms
- semi supervised learning
- unlabeled data
- multi task
- active learning
- target domain
- domain adaptation
- feature extraction
- transferring knowledge
- neural network
- text mining
- prior knowledge
- pairwise
- training data
- real world