English

RSSL: Semi-supervised Learning in R

Machine Learning 2016-12-26 v1 Machine Learning

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.

Keywords

Cite

@article{arxiv.1612.07993,
  title  = {RSSL: Semi-supervised Learning in R},
  author = {Jesse H. Krijthe},
  journal= {arXiv preprint arXiv:1612.07993},
  year   = {2016}
}

Comments

Presented at RRPR 2016: 1st Workshop on Reproducible Research in Pattern Recognition

R2 v1 2026-06-22T17:33:23.939Z