{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/rssl-semi-supervised-learning-in-r","title":"RSSL: Semi-supervised Learning in R","arxiv_id":"1612.07993","date":"2016-12-23","proceeding":null,"authors":["Jesse H. Krijthe"],"abstract":"In this paper, we introduce a package for semi-supervised learning research\nin the R programming language called RSSL. We cover the purpose of the package,\nthe methods it includes and comment on their use and implementation. We then\nshow, using several code examples, how the package can be used to replicate\nwell-known results from the semi-supervised learning literature.","url_abs":"http://arxiv.org/abs/1612.07993v1","url_pdf":"http://arxiv.org/pdf/1612.07993v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"rssl-semi-supervised-learning-in-r","repo_url":"https://github.com/cran/RSSL","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"rssl-semi-supervised-learning-in-r","repo_url":"https://github.com/jkrijthe/RSSL","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}