Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 29-32.doi: 10.11896/j.issn.1002-137X.2017.6A.006
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DU Hui, CHEN Yun-fang and ZHANG Wei
| [1] DEERWESTER S C,DUMAIS S T,LANDAUER T K,et al.Indexing by latent semantic analysis[J].Journal of the American Society for Information Science,1990,41(6):391-407. [2] HOFMANN T.Probabilistic latent semantic indexing[C]∥Proceedings of the 22nd Annual International SIGIR Conference.New York:ACM Press,1999:50-57. [3] BLEI D,NG A,JORDAN M.Latent Dirichlet allocation[J].Journal of Machine Learning Research,2003,3:993-1022. [4] 徐戈,王厚峰.自然语言处理中主题模型的发展[J].计算机学报,2011(8):1423-1436. [5] DEMPSTER A P,LAIRD N M,RUBIN D B.Maximum likelihood from incomplete data via the EM algorithm[J].Journal of the Royal Statistical Society,1997,B39(1):1-38. [6] GRIFFITHS T L,STEYVERS M.Finding scientific topics [J].Proceedings of the National academy of Sciences of the United States of America,2004,101(Suppl 1):5228-5235. [7] BLEI D M,NG A Y,JORDAN M I.Latent dirichlet allocation [J].The Journal of Machine Learning Research,2003,3:993-1022. [8] ZEHG J,CHEUNG W K W,Liu J M.Learning topic models by belief propagation [C]∥IEEE Transactions on Pattern Analysis and Machine Intelligence.2012. [9] 赵鑫,李晓明.主题模型在文本挖掘中的应用: PKU-CS-NCIS-TR2011XX [R].Technical Report,2011. [10] HEINRICH G.Parameter estimation for text analysis[R].Tech-nical Report,2008. [11] BLEI D M,LAFFERTY J D.Correlated topic models[C]∥Advances in Neural Information Processing Systems 18.Cambridge,MA:MIT Press,2006. [12] BLEI D,LAFFERTY J.Dynamic topic models[C]∥Proceedings of the 23rd International Conference on Machine Learning.Pittsburgh,Pennsylvania,USA,2006:113-120. [13] ROSEN-ZVI M,GRIFFITHS T,STEYVERS M,et al.The Auther-Topic Model for Author-Topic Model for Authors and Do-cuments[C]∥Proc.20th Conf.Uncertainty in Artificial Intelligence.2004:487-494. [14] BISHOP C M.Pattern Recognition and Machine Learning[M].New York,USA:Springer,2006. [15] 赖裕平,周亚建,丁洪伟,等.混合逆狄利克雷分布的变分学习及应用[J].电子学报,2014,42(7):1435-1440. [16] PORTEOUS I,NNWMAN D,IHLER A,et al.Fast collapsed gibbs sampling for latent dirichlet allocation[C]∥Proceeding of The 14th ACM SIGKDD International Conference on Know-ledge Discovery and Data Mining(KDD’08).New York,NY,USA,2008:569-577. [17] HOFFMAN M,BLEI D M,BACH F.Online learning for latent dirichlet allocation[C]∥NIPS.2010:856-864. [18] YAO L M,MIMNO D,MCCALLUM A.Efficient methods for topic model inference on streaming document collections[C]∥Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD’09).New York,NY,USA,ACM,2009:937-946. [19] BANERJEE A,BASU S.Topic Models over Text Streams:A Study of Batch and Online Unsupervised Learning[C]∥SDM.SIAM,2007. [20] NEWMAN D,ASUNCION A,SMYTH P,et al.Distributed Inference for Latent Dirichlet Allocation[C]∥Conference on Neural Information Processing Systems.2007:1-6. [21] LIU Z Y,ZHANG Y Z,CHANG E Y,et al.Plda+:Parallel latent dirichlet allocation with data placement and pipeline processing[J].ACM Trans.Intell.Syst.Tschnol.,2011,2(3):26 [22] YAN F,XU N Y,QI Y.Parallel inference for latent dirichlet allocation on graphics processing units[C]∥NIPS.2009:2134-2142. [23] ASUNCION A,SMYTH P,WELLING M.Asynchronous distributed learning of topic models[C]∥NIPS.2008:81-88. |
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