[1] Dai W,Jin O,Xue G R,et al.Eigentransfer:a unified framework for transfer learning[A].Proceedings of the 26th Annual International Conference on Machine Learning[C].New York,NY:Association for Computing Machinery,2009.193-200.
[2] Pan W,Yang Q.Transfer learning in heterogeneous collaborative filtering domains[J].Artificial Intelligence,2013,197(4):39-55.
[3] Long M,Wang J,Ding G,Shen D,Yang Q.Transfer learning with graph co-regularization[J].IEEE Transactions on Knowledge & Data Engineering,2014,26(7):1805-1818.
[4] Zhang X,Yang Q.Transfer hierarchical attention network for generative dialog system[J].International Journal of Automation and Computing,2019,16(6):720-736.
[5] Pan W,Yang Q,Duan Y,et al.Transfer learning for semi-supervised collaborative recommendation[J].The ACM Transactions on Interactive Intelligent Systems,2016,6(2):1-21.
[6] 吴斌,吉佳,孟琳,等.基于迁移学习的唐诗宋词情感分析[J].电子学报,2016,44(11):2780-2787. Wu B,Ji J,Meng L,et al.Transfer learning based sentiment analysis for poetry of the tang dynasty and song dynasty[J].Acta Electronica Sinica,2016,44(11):2780-2787.(in Chinese)
[7] Zhao G L,Xiang Y L,Li M Q,et al.A cross-region transfer learning method for classification of community service cases with small datasets[J].Knowledge-Based Systems,2020,193:105390.
[8] Blei D M,Ng A,Jordan M.Latent dirichlet allocation[J].Journal of Machine Learning Research,2003,3(4-5):993-1022.
[9] Wood J,Tan P,Wang W,et al.Source-LDA:enhancing probabilistic topic models using prior knowledge sources[A].International Conference on Data Engineering[C].San Diego,California:IEEE,2017.411-422.
[10] Zhang H,Zhong G.Improving short text classification by learning vector representations of both words and hidden topics[J].Knowledge-Based Systems,2016,102(6):76-86.
[11] Kandemir M,Kekeç T,Yeniterzi R.Supervising topic models with gaussian processes[J].Pattern Recognition,2018,77(5):226-236.
[12] 石敏,刘建勋,周栋,曹步清,等.基于多重关系主题模型的Web服务聚类方法[J].计算机学报,2019,42(04):820-836. Shi M,Liu J X,Zhou D,et al.Multi-relational topic model-based approach for web services clustering[J].Chinese Journal of Computers,2019,42(04):820-836.(in Chinese)
[13] 张雄,陈福才,黄瑞阳.基于双词主题模型的半监督实体消歧方法研究[J].电子学报,2018,46(3):607-613. Zhang X,Chen F C,Huang R Y.Semi-supervised entity disambiguation method research based on bi term topic model[J].Acta Electronica Sinica,2018,46(3):607-613.(in Chinese).
[14] Mei Q,Ling X,Wondra M,et al.Topic sentiment mixture:modeling facets and opinions in weblogs[A].Proceedings of the 16th International World Wide Web Conference (WWW'07).Association for Computing Machinery[C].New York,NY,USA,2007.171-180.
[15] Niu Z,Hua G,Wang L,et al.Knowledge based topic model for unsupervised object discovery and localization[J].IEEE Transactions on Image Processing,2018,27(1):50-63.
[16] Chen C,Zare A,Trinh H N,et al.Partial membership latent dirichlet allocation for soft image segmentation[J].IEEE Transactions on Image Processing,2017,26(12):5590-5602.
[17] 刘杰,杜军平.基于潜在主题融合的跨媒体图像语义标注[J].电子学报,2014,42(05):987-991. Liu J,Du J P.Latent topic fusion-based cross-media image semantic annotation[J].Acta Electronica Sinica,2014,42(05):987-991.(in Chinese)
[18] 唐焕玲,窦全胜,于立萍,宋英杰,鲁明羽.有监督主题模型的SLDA-TC文本分类新方法[J].电子学报,2019,47(06):1300-1308. Tang H L,Dou Q S,et al.SLDA-TC:a novel text categorization approach based on supervised topic model[J].Acta Electronica Sinica,2019,47(06):1300-1308.(in Chinese)
[19] 李永忠,郑滔.基于标签的半监督HDP文本分类主题模型[J].模式识别与人工智能,2017,30(12):1138-1148. LI Yongzhong,ZHENG Tao.Semi-supervised labeled hierarchical dirichlet process topic model for document categorization[J].Pattern Recognition and Artificial Intelligence,2017,30(12):1138-1148.(in Chinese)
[20] Pan S J,Yang Q.A survey on transfer learning[J].IEEE Transactions on Knowledge and Data Engineering,2010,22(10):1345-1359. |