Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning.
Gabriel TsengHannah KernerCatherine NakalembeInbal Becker-ReshefPublished in: CVPR Workshops (2021)
Keyphrases
- pairwise
- meta learning
- learning tasks
- meta knowledge
- semi supervised
- learning algorithm
- inductive learning
- active learning
- model selection
- learning process
- data mining
- knowledge acquisition
- machine learning algorithms
- logic programs
- multi label
- background knowledge
- test set
- object oriented
- training data
- feature extraction
- case study
- machine learning