RSSL: Semi-supervised Learning in R
arXiv:1612.07993v117 citations
Originality Synthesis-oriented
AI Analysis
This provides a tool for researchers and practitioners in R to conduct semi-supervised learning experiments, but it is incremental as it packages existing methods.
The authors introduced RSSL, a package for semi-supervised learning research in R, demonstrating its use to replicate established results from the literature.
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.