{"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/supervised-infinite-feature-selection","title":"Supervised Infinite Feature Selection","arxiv_id":"1704.02665","date":"2017-04-09","proceeding":null,"authors":["Sadegh Eskandari","Emre Akbas"],"abstract":"In this paper, we present a new feature selection method that is suitable for\nboth unsupervised and supervised problems. We build upon the recently proposed\nInfinite Feature Selection (IFS) method where feature subsets of all sizes\n(including infinity) are considered. We extend IFS in two ways. First, we\npropose a supervised version of it. Second, we propose new ways of forming the\nfeature adjacency matrix that perform better for unsupervised problems. We\nextensively evaluate our methods on many benchmark datasets, including large\nimage-classification datasets (PASCAL VOC), and show that our methods\noutperform both the IFS and the widely used \"minimum-redundancy\nmaximum-relevancy (mRMR)\" feature selection algorithm.","url_abs":"http://arxiv.org/abs/1704.02665v3","url_pdf":"http://arxiv.org/pdf/1704.02665v3.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":"supervised-infinite-feature-selection","repo_url":"https://github.com/Sadegh28/SIFS","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"feature-selection","task_name":"feature selection"},{"task_slug":"image-classification","task_name":"image-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}