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Semi-Supervised Learning Methods
- Many methods exist: EM with generative mixture models, self-training, co-training, data-based methods, transductive SVM, graph-based methods, …
- Inductive methods and Transductive methods
- Transductive methods: only label the available unlabeled data – not generating a classifier
- Inductive methods: not only produce labels for unlabeled data, but also generate a classifier
- Algorithmic methods
- Classifier-based methods: start from an initial classifier, and iteratively enhance it
- Data-based methods: find an inherent geometry in the data, and use the geometry to find a good classifier
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