{"type":"ScholarlyArticle","title":"Managing Domain Knowledge and Multiple Models with Boosting","authors":[{"name":"Peng Zang","slug":"peng-zang","given":"Peng","family":"Zang","affiliation":""},{"name":"Charles Lee Isbell Jr.","slug":"charles-lee-isbell-jr","given":"Charles Lee Isbell","family":"Jr.","affiliation":""}],"abstract":"We present MBoost, a novel extension to AdaBoost that extends boosting to use multiple weak learners explicitly, and provides robustness to learning models that overfit or are poorly matched to data. We demonstrate MBoost on a variety of problems and compare it to cross validation for model selection.","doi":null,"url":"https://ijcai.org/proceedings/2007/185","pdf":"https://ijcai.org/proceedings/2007/0185.pdf","markdown":"https://ijcai.org/proceedings/2007/185.md","bibtex":"https://ijcai.org/proceedings/2007/bibtex/185","volume":{"slug":"2007","title":"Proceedings of the Twentieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2007","url":"https://ijcai.org/proceedings/2007/","year":2007,"location":"Hyderabad, India","dates":"","editors":"Ramon López de Mántaras","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":185,"pages":{"first":1144,"last":1148},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}