{"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/ensemblesvm-a-library-for-ensemble-learning","title":"EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines","arxiv_id":"1403.0745","date":"2014-03-04","proceeding":null,"authors":["Marc Claesen","Frank De Smet","Johan Suykens","Bart De Moor"],"abstract":"EnsembleSVM is a free software package containing efficient routines to\nperform ensemble learning with support vector machine (SVM) base models. It\ncurrently offers ensemble methods based on binary SVM models. Our\nimplementation avoids duplicate storage and evaluation of support vectors which\nare shared between constituent models. Experimental results show that using\nensemble approaches can drastically reduce training complexity while\nmaintaining high predictive accuracy. The EnsembleSVM software package is\nfreely available online at http://esat.kuleuven.be/stadius/ensemblesvm.","url_abs":"http://arxiv.org/abs/1403.0745v1","url_pdf":"http://arxiv.org/pdf/1403.0745v1.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":"ensemblesvm-a-library-for-ensemble-learning","repo_url":"https://github.com/claesenm/EnsembleSVM","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"ensemble-learning","task_name":"Ensemble Learning"}],"methods":[{"method_slug":"svm","method_name":"SVM"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}