{"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/naive-bayes-classification-for-subset","title":"Naive Bayes Classification for Subset Selection","arxiv_id":"1707.06142","date":"2017-07-19","proceeding":null,"authors":["Luca Mossina","Emmanuel Rachelson"],"abstract":"This article focuses on the question of learning how to automatically select\na subset of items among a bigger set. We introduce a methodology for the\ninference of ensembles of discrete values, based on the Naive Bayes assumption.\nOur motivation stems from practical use cases where one wishes to predict an\nunordered set of (possibly interdependent) values from a set of observed\nfeatures. This problem can be considered in the context of Multi-label\nClassification (MLC) where such values are seen as labels associated to\ncontinuous or discrete features. We introduce the \\nbx algorithm, an extension\nof Naive Bayes classification into the multi-label domain, discuss its\nproperties and evaluate our approach on real-world problems.","url_abs":"http://arxiv.org/abs/1707.06142v1","url_pdf":"http://arxiv.org/pdf/1707.06142v1.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":"naive-bayes-classification-for-subset","repo_url":"https://github.com/SuReLI/naibx-mlc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"multi-label-classification-2","task_name":"MUlTI-LABEL-ClASSIFICATION"},{"task_slug":"multi-label-classification","task_name":"Multi-Label Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}