Introduction to semi-supervised learning
Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) wh...
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| Other Authors: | |
| Format: | Electronic |
| Language: | English |
| Published: |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool Publishers,
c2009.
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| Series: | Synthesis lectures on artificial intelligence and machine learning (Online),
# 6. |
| Subjects: | |
| Online Access: | Abstract with links to full text |