{"type":"ScholarlyArticle","title":"Regularizing Flat Latent Variables with Hierarchical Structures","authors":[{"name":"Rongcheng Lin","slug":"rongcheng-lin","given":"Rongcheng","family":"Lin","affiliation":""},{"name":"Huayu Li","slug":"huayu-li","given":"Huayu","family":"Li","affiliation":""},{"name":"Xiaojun Quan","slug":"xiaojun-quan","given":"Xiaojun","family":"Quan","affiliation":""},{"name":"Richang Hong","slug":"richang-hong","given":"Richang","family":"Hong","affiliation":""},{"name":"Zhiang Wu","slug":"zhiang-wu","given":"Zhiang","family":"Wu","affiliation":""},{"name":"Yong Ge","slug":"yong-ge","given":"Yong","family":"Ge","affiliation":""}],"abstract":"In this paper, we propose a stratified topic model(STM). Instead of directly modeling and inferring flat topics or hierarchically structured topics, we use the stratified relationships in topic hierarchies to regularize the flat topics. The topic structures are captured by a hierarchical clustering method and play as constraints during the learning process. We propose two theoretically sound and practical inference methods to solve the model. Experimental results with two real world data sets and various evaluation metrics demonstrate the effectiveness of the proposed model.","doi":null,"url":"https://ijcai.org/proceedings/2015/516","pdf":"https://ijcai.org/proceedings/2015/0516.pdf","markdown":"https://ijcai.org/proceedings/2015/516.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/516","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Special Track on Machine Learning","track":"Special Track on Machine Learning","number":516,"pages":{"first":3671,"last":3676},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}