{"type":"ScholarlyArticle","title":"Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination","authors":[{"name":"Liang Mao","slug":"liang-mao","given":"Liang","family":"Mao","affiliation":""},{"name":"Shiliang Sun","slug":"shiliang-sun","given":"Shiliang","family":"Sun","affiliation":""}],"abstract":"Multi-view learning receives increasing interest in recent years to analyze complex data. Lately, multi-view maximum entropy discrimination (MVMED) and alternative MVMED (AMVMED) were proposed as extensions of maximum entropy discrimination (MED) to the multi-view learning setting, which use the hard margin consistency principle that enforces two view margins to be the same. In this paper, we propose soft margin consistency based multi-view MED (SMVMED) achieving margin consistency in a less strict way, which minimizes the relative entropy between the posteriors of two view margins. With a trade-off parameter balancing large margin and margin consistency, SMVMED is more flexible. We also propose a sequential minimal optimization (SMO) algorithm to efficiently train SMVMED and make it scalable to large datasets. We evaluate the performance of SMVMED on multiple real-world datasets and get encouraging results.","doi":null,"url":"https://ijcai.org/proceedings/2016/263","pdf":"https://ijcai.org/proceedings/2016/0263.pdf","markdown":"https://ijcai.org/proceedings/2016/263.md","bibtex":"https://ijcai.org/proceedings/2016/bibtex/263","volume":{"slug":"2016","title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2016","url":"https://ijcai.org/proceedings/2016/","year":2016,"location":"New York, NY, USA","dates":"9–15 July 2016","editors":"Subbarao Kambhampati","isbn":"978-1-57735-770-4; 978-1-57735-771-1","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":263,"pages":{"first":1839,"last":1844},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}