Food Science Spectroscopy Model Training: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning.
Huanle ZhangNicharee WisuthiphaetHemiao CuiNitin NitinXin LiuQing ZhaoPublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- active learning
- labeled data
- unlabeled data
- learning models
- semi supervised
- data sets
- supervised learning
- training data
- training examples
- test data
- labeled instances
- data analysis
- machine learning
- training samples
- data points
- labeled training data
- prior knowledge
- semi supervised classification
- data mining
- unsupervised learning
- missing data
- data distribution
- learning problems
- original data
- text classification
- knowledge discovery
- probabilistic model
- learning algorithm
- manifold regularization
- learning frameworks
- number of labeled examples