Rao C R.Information and Accuracy Attainable in the Estimation of Statistical Parameters.Bulletin of the Calcutta Mathematical Society,1945,37: 81-91
[2]
encov N N.Statistical Decision Rules and Optimal Inference.Providence,USA: American Mathematical Society,1982: 477-493
[3]
Campbell L L.An Extended C∨encov Characterization of the Information Metric.Proc of the American Mathematical Society,1986,98(1): 135-141
[4]
Jaakkola T S,Haussler D.Exploiting Generative Models in Discriminative Classifiers // Kearns M S,Solla S A,Cohn D A,eds.Advances in Neural Information Processing Systems.Cambridge,USA: MIT Press,1999,XI: 487-493
Kondor R I,Lafferty J D.Diffusion Kernels on Graphs and Other Discrete Input Spaces // Proc of the 19th International Conference on Machine Learning.Edinburgh,Scotland,2002: 315-322
[7]
Lafferty J,Lebanon G.Diffusion Kernels on Statistical Manifolds.Journal of Machine Learning Research,2004,6: 129-163
[8]
Zhang D,Chen Xi,LEE W S.Text Classification with Kernels on the Multinomial Manifold // Proc of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.Salvador,Brazil,2005: 266-273
[9]
Dollar P,Rabaud V,Belongie S.Non-Isometric Manifold Learning: Analysis and an Algorithm // Proc of the 24th International Conference on Machine Learning,Corvallis,USA,2007: 241-248
[10]
Lin Tong,Zha Hongbin.Riemannian Manifold Learning.IEEE Trans on Pattern Analysis and Machine Intelligence,2008,30(5): 796-809
[11]
Zhou Shibin.Text Categorization Based on Generative and Discriminative Model.Ph.D Dissertation.Beijing,China: Beijing Institute of Technology,2009 (in Chinese)(周世斌.基于生成模型和判别模型的文本分类技术研究.博士学位论文.北京:北京理工大学,2009)
[12]
Madsen R E,Kauchak D,Elkan C.Modeling Word Burstiness Using the Dirichlet Distribution // Proc of the 22nd International Conference on Machine Learning.Bonn,Germany,2005: 545-552
[13]
Belkin M.Problems of Learning on Manifolds.Ph.D Dissertation.Chicago,USA: University of Chicago,2003
[14]
Li Kan,Liu Yushu.Research on Noise Insensitive SVM Based Multi-Class Classification // Proc of International Conference on Machine Learning and Cybernetics.Shanghai,China,2004: 3234-3237
