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Graph-based semi-supervised learning /
While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of...
| Autori principali: | , |
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| Natura: | eBook |
| Lingua: | English |
| Pubblicazione: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
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| Serie: | Synthesis digital library of engineering and computer science.
Synthesis lectures on artificial intelligence and machine learning ; # 29. |
| Soggetti: | |
| Accesso online: | Abstract with links to full text |