| 21. | "Self-training " is a wrapper method for semi-supervised learning.
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| 22. | In supervised learning models, there are tests that are needed to pass to reduce mistakes.
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| 23. | The software implements any number of layers of non-linear processing units for supervised learning.
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| 24. | Hence, a supervised learning algorithm can be constructed by applying an optimization algorithm to find g.
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| 25. | Support vector machines ( SVMs ) are a set of related supervised learning methods used for regression.
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| 26. | Description : The first application of supervised learning to gene expression data, in particular Support Vector Machines.
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| 27. | And some researchers recently proposed Graph-based semi-supervised learning model for language specific NER tasks.
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| 28. | When labels are more expensive to gather than input examples, semi-supervised learning can be useful.
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| 29. | In empirical risk minimization, the supervised learning algorithm seeks the function g that minimizes R ( g ).
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| 30. | Semi-supervised learning is also of theoretical interest in machine learning and as a model for human learning.
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