{"type":"ScholarlyArticle","title":"Multi-Prototype Label Ranking with Novel Pairwise-to-Total-Rank Aggregation","authors":[{"name":"Mihajlo Grbovic","slug":"mihajlo-grbovic","given":"Mihajlo","family":"Grbovic","affiliation":""},{"name":"Nemanja Djuric","slug":"nemanja-djuric","given":"Nemanja","family":"Djuric","affiliation":""},{"name":"Slobodan Vucetic","slug":"slobodan-vucetic","given":"Slobodan","family":"Vucetic","affiliation":""}],"abstract":"We propose a multi-prototype-based algorithm for online learning of soft pairwise-preferences over labels. The algorithm learns soft label preferences via minimization of the proposed soft rank-loss measure, and can learn from total orders as well as from various types of partial orders. The soft pairwise preference algorithm outputs are further aggregated to produce a total label ranking prediction using a novel aggregation algorithm that outperforms existing aggregation solutions. Experiments on synthetic and real-world data demonstrate state-of-the-art performance of the proposed model.","doi":null,"url":"https://ijcai.org/proceedings/2013/204","pdf":"https://ijcai.org/proceedings/2013/0204.pdf","markdown":"https://ijcai.org/proceedings/2013/204.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/204","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":204,"pages":{"first":1358,"last":1363},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}