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From Supervised to Unsupervised Support Vector Machines and Applications in Astronomy 

KI - Künstliche Intelligenz: Vol. 27, No. 3 Gieseke, Fabian
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 ...

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Gieseke, Fabian (1)

Subject

Astronomy (1)Machine learning (1)Semi-supervised learning (1)Support vector machines (1)... View More

Date Issued

2013 (1)

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About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.