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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...
| Main Authors: | Subramanya, Amarnag (Author), Talukdar, Partha Pratim (Author) |
|---|---|
| Formato: | livro electrónico |
| Idioma: | English |
| Publicado em: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
|
| Colecção: | Synthesis digital library of engineering and computer science.
Synthesis lectures on artificial intelligence and machine learning ; # 29. |
| Assuntos: | |
| Acesso em linha: | Abstract with links to full text |
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