In which application of Machine Learning ( NLP, Computer Vision, etc ) would we find maximum value with Semi-Supervised Learning and Self-Training ?
DEAR Titas De
please consider these links:
1-Semi-supervised learning (machine learning)
- DOI:10.53347/rID-74943
- In book: Radiopaedia.org
2-Semi-supervised Learning
- DOI:10.1007/978-3-030-65900-4_14
- In book: Machine Learning Foundations
3-A survey on semi-supervised learning
Machine Learning 109(5)
DOI:10.1007/s10994-019-05855-6
4-https://www.sciencedirect.com/science/article/abs/pii/S0016706120325647
(A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data)
As a result, self-training is a simple and effective semi-supervised learning classification method. The self-training classifier is initially trained with a reduced set of labeled examples. Then it is iteratively retrained with its own most confident predictions over the unlabeled examples.
good luck
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