{"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/multiview-learning-of-weighted-majority-vote","title":"Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization","arxiv_id":"1805.10212","date":"2018-05-25","proceeding":null,"authors":["Anil Goyal","Emilie Morvant","Massih-Reza Amini"],"abstract":"We tackle the issue of classifier combinations when observations have\nmultiple views. Our method jointly learns view-specific weighted majority vote\nclassifiers (i.e. for each view) over a set of base voters, and a second\nweighted majority vote classifier over the set of these view-specific weighted\nmajority vote classifiers. We show that the empirical risk minimization of the\nfinal majority vote given a multiview training set can be cast as the\nminimization of Bregman divergences. This allows us to derive a parallel-update\noptimization algorithm for learning our multiview model. We empirically study\nour algorithm with a particular focus on the impact of the training set size on\nthe multiview learning results. The experiments show that our approach is able\nto overcome the lack of labeled information.","url_abs":"http://arxiv.org/abs/1805.10212v1","url_pdf":"http://arxiv.org/pdf/1805.10212v1.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":"multiview-learning-of-weighted-majority-vote","repo_url":"https://github.com/goyalanil/Multiview_Dataset_MNIST","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"document-classification","task_name":"Document Classification"},{"task_slug":"multilingual-text-classification","task_name":"Multilingual text classification"},{"task_slug":"multiview-learning","task_name":"Multiview Learning"},{"task_slug":"text-classification","task_name":"Text Classification"}],"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}