{"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/finding-alternate-features-in-lasso","title":"Finding Alternate Features in Lasso","arxiv_id":"1611.05940","date":"2016-11-18","proceeding":null,"authors":["Satoshi Hara","Takanori Maehara"],"abstract":"We propose a method for finding alternate features missing in the Lasso\noptimal solution. In ordinary Lasso problem, one global optimum is obtained and\nthe resulting features are interpreted as task-relevant features. However, this\ncan overlook possibly relevant features not selected by the Lasso. With the\nproposed method, we can provide not only the Lasso optimal solution but also\npossible alternate features to the Lasso solution. We show that such alternate\nfeatures can be computed efficiently by avoiding redundant computations. We\nalso demonstrate how the proposed method works in the 20 newsgroup data, which\nshows that reasonable features are found as alternate features.","url_abs":"http://arxiv.org/abs/1611.05940v2","url_pdf":"http://arxiv.org/pdf/1611.05940v2.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":"finding-alternate-features-in-lasso","repo_url":"https://github.com/sato9hara/LassoVariants","is_official":1,"mentioned_in_paper":1,"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}