Landwirtschaftliche Ertragsvorhersage im Kontext begrenzter realer Trainingsdatensätze: ein Transfer-Learning-Ansatz unter Verwendung tieferneuronalerNetze.
Alexander MünzbergChristian TroostNils ReinoschDaniel MartiniLiv SeuringAlexander NiehusRajiv Kumar SrivastavaThilo StreckThomas BergerAnsgar BernardiPublished in: GI-Jahrestagung (2023)
Keyphrases
- transfer learning
- knowledge transfer
- learning tasks
- labeled data
- active learning
- cross domain
- domain adaptation
- machine learning
- text categorization
- multi task
- semi supervised learning
- reinforcement learning
- text classification
- collaborative filtering
- manifold alignment
- structure learning
- learning algorithm
- multi task learning
- transfer knowledge
- target domain
- unlabeled data
- prior knowledge
- learning problems
- transferring knowledge
- text mining
- training and test data
- multitask learning
- decision trees
- training data
- learning process
- data mining
- semi supervised