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From Supervised to Unsupervised Support Vector Machines and Applications in Astronomy
KI - Künstliche Intelligenz: Vol. 27, No. 3
Support vector machines are among the most popular techniques in machine learning. Given sufficient labeled data, they often yield excellent results. However, for a variety of real-world tasks, the acquisition of sufficient labeled data can be very time-consuming; unlabeled data, on the other hand, can often be obtained ...