{"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/optimally-combining-classifiers-using","title":"Optimally Combining Classifiers Using Unlabeled Data","arxiv_id":"1503.01811","date":"2015-03-05","proceeding":null,"authors":["Akshay Balsubramani","Yoav Freund"],"abstract":"We develop a worst-case analysis of aggregation of classifier ensembles for\nbinary classification. The task of predicting to minimize error is formulated\nas a game played over a given set of unlabeled data (a transductive setting),\nwhere prior label information is encoded as constraints on the game. The\nminimax solution of this game identifies cases where a weighted combination of\nthe classifiers can perform significantly better than any single classifier.","url_abs":"http://arxiv.org/abs/1503.01811v3","url_pdf":"http://arxiv.org/pdf/1503.01811v3.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":"optimally-combining-classifiers-using","repo_url":"https://github.com/aikanor/marvin","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"binary-classification","task_name":"Binary Classification"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1503.01811","atlas_url":"https://app.syntology.ai/?focus=1503.01811","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}