A SURVEY OF SEMI-SUPERVISED LEARNING
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 10
Abstract
Semi Supervised Learning involves using both labeled and unlabeled data to train a classifier or for clustering. Semi supervised learning finds usage in many applications, since labeled data can be hard to find in many cases. Currently, a lot of research is being conducted in this area. This paper discusses the different algorithms of semi supervised learning and then their advantages and limitations are compared. The differences between supervised classification and semi-supervised classification, and unsupervised clustering and semi-supervised clustering are also discussed.
Authors and Affiliations
Amrita Sadarangani
Keywords
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- EP ID EP118190
- DOI 10.5281/zenodo.159333
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