·458· 智能系统学报 第16卷 ding and weak geometric consistency for large scale im- 作者简介： age search[C]//Proceedings of the 10th European Confer- 黄雨婷，硕士研究生，主要研究方 ence on Computer Vision.Marseille,France,2008: 向为标签分布学习和推荐系统。 304-317. [25]BERGER A L,PIETRA V J D,PIETRA S A D.A max- imum entropy approach to natural language processing[J]. Computational linguistics,199,22(1):39-71. [26]ZHOU Deyu,ZHANG Xuan,ZHOU Yin,et al.Emotion distribution learning from texts[C]//Proceedings of the 徐媛媛.讲师，主要研究方向为信 2016 Conference on Empirical Methods in Natural Lan- 号处理和推荐系统。主持教育部产学 guage Processing.Austin,Texas,2016:638-647. 合作协同育人项目2项。发表学术论 [27]YUAN Yaxiang.A modified BFGS algorithm for uncon- 文2篇。 strained optimization[J].IMA journal of numerical ana- ysis,1991,11(3):325-332. [28]EISEN M B,SPELLMAN P T,BROWN P O,et al. Cluster analysis and display of genome-wide expression 张恒汝，教授，主要研究方向为标 patterns[J].Proceedings of the national academy of sci- 签分布学习、粒计算、推荐系统和数据 ences of the united states of America,1998,95(25): 挖掘。主持四川省科技厅项目1项， 14863-14868. 参与省部级科研及教研项目3项。发 [29]CHA Su H.Comprehensive survey on distance/similarity 表学术论文30余篇。 measures between probability density functions[J].Inter- national journal of mathematical models and methods in applied sciences,2007,1(4):300-307.ding and weak geometric consistency for large scale im￾age search[C]//Proceedings of the 10th European Confer￾ence on Computer Vision. Marseille, France, 2008: 304−317. BERGER A L, PIETRA V J D, PIETRA S A D. A max￾imum entropy approach to natural language processing[J]. Computational linguistics, 1996, 22(1): 39–71. [25] ZHOU Deyu, ZHANG Xuan, ZHOU Yin, et al. Emotion distribution learning from texts[C]//Proceedings of the 2016 Conference on Empirical Methods in Natural Lan￾guage Processing. Austin, Texas, 2016: 638−647. [26] YUAN Yaxiang. A modified BFGS algorithm for uncon￾strained optimization[J]. IMA journal of numerical ana￾lysis, 1991, 11(3): 325–332. [27] EISEN M B, SPELLMAN P T, BROWN P O, et al. Cluster analysis and display of genome-wide expression patterns[J]. Proceedings of the national academy of sci￾ences of the united states of America, 1998, 95(25): 14863–14868. [28] CHA Su H. Comprehensive survey on distance/similarity measures between probability density functions[J]. Inter￾national journal of mathematical models and methods in applied sciences, 2007, 1(4): 300–307. [29] 作者简介： 黄雨婷，硕士研究生，主要研究方 向为标签分布学习和推荐系统。 徐媛媛，讲师，主要研究方向为信 号处理和推荐系统。主持教育部产学 合作协同育人项目 2 项。发表学术论 文 2 篇。 张恒汝，教授，主要研究方向为标 签分布学习、粒计算、推荐系统和数据 挖掘。主持四川省科技厅项目 1 项， 参与省部级科研及教研项目 3 项。发 表学术论文 30 余篇。 ·458· 智 能 系 统 学 报 第 16 卷