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RSSL: Semi-supervised Learning in R
December 23, 2016 Β· Declared Dead Β· π RRPR@ICPR
"No code URL or promise found in abstract"
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Authors
Jesse H. Krijthe
arXiv ID
1612.07993
Category
stat.ML: Machine Learning (Stat)
Cross-listed
cs.LG
Citations
17
Venue
RRPR@ICPR
Last Checked
3 months ago
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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