| 1. | Group classification and regression analysis are categories of supervised learning algorithms.
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| 2. | Recent research has increasingly focused on semi-supervised learning algorithms.
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| 3. | You need a Supervised learning algorithm such as Support vector machines.
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| 4. | In supervised learning, each pattern belongs to a certain predefined class.
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| 5. | Bayesian spam filtering is a common example of supervised learning.
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| 6. | Semi-supervised learning may refer to either inductive learning.
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| 7. | Either way, learning which requires a teacher is called supervised learning.
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| 8. | Recent research has increasingly focused on unsupervised and semi-supervised learning algorithms.
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| 9. | Then supervised learning proceeds from only the labeled examples.
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| 10. | First a supervised learning algorithm is trained based on the labeled data only.
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