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RSSL: Semi-supervised learning in R

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2017) 10214 LNCS 104-115
DOI: 10.1007/978-3-319-56414-2_8
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Abstract

In this paper, we introduce a package for semi-supervised learning research in the R programming language called RSSL. We cover the purpose of the package, the methods it includes and comment on their use and implementation. We then show, using several code examples, how the package can be used to replicate well-known results from the semi-supervised learning literature.

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Krijthe, J. H. (2017). RSSL: Semi-supervised learning in R. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10214 LNCS, pp. 104–115). Springer Verlag. https://doi.org/10.1007/978-3-319-56414-2_8

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