{"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/convex-formulation-of-multiple-instance","title":"Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags","arxiv_id":"1704.06767","date":"2017-04-22","proceeding":null,"authors":["Han Bao","Tomoya Sakai","Issei Sato","Masashi Sugiyama"],"abstract":"Multiple instance learning (MIL) is a variation of traditional supervised\nlearning problems where data (referred to as bags) are composed of sub-elements\n(referred to as instances) and only bag labels are available. MIL has a variety\nof applications such as content-based image retrieval, text categorization and\nmedical diagnosis. Most of the previous work for MIL assume that the training\nbags are fully labeled. However, it is often difficult to obtain an enough\nnumber of labeled bags in practical situations, while many unlabeled bags are\navailable. A learning framework called PU learning (positive and unlabeled\nlearning) can address this problem. In this paper, we propose a convex PU\nlearning method to solve an MIL problem. We experimentally show that the\nproposed method achieves better performance with significantly lower\ncomputational costs than an existing method for PU-MIL.","url_abs":"http://arxiv.org/abs/1704.06767v3","url_pdf":"http://arxiv.org/pdf/1704.06767v3.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":"convex-formulation-of-multiple-instance","repo_url":"https://github.com/levelfour/pumil","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"content-based-image-retrieval","task_name":"Content-Based Image Retrieval"},{"task_slug":"image-retrieval","task_name":"Image Retrieval"},{"task_slug":"multiple-instance-learning","task_name":"Multiple Instance Learning"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"text-categorization","task_name":"Text Categorization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}