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Fast and simple gradient-based optimization for semi-supervised support vector machines
2014
Neurocomputing
One of the main learning tasks in machine learning is the one of classifying data items. The basis for such a task is usually a training set consisting of labeled patterns. In real-world settings, however, such labeled data are usually scarce, and the corresponding models might yield unsatisfying results. Unlabeled data, on the other hand, can often be obtained in huge quantities without much additional effort. A prominent research direction in the field of machine learning are semi-supervised
doi:10.1016/j.neucom.2012.12.056
fatcat:j4lxkbgemrel7gfqwqnsjk2dpq