Effect of Feature Smoothing Methods in Text Classification Tasks
暂无分享,去创建一个
Hermann Ney | Alfons Juan-Císcar | Enrique Vidal | David Vilar | H. Ney | David Vilar | E. Vidal | Alfons Juan-Císcar
[1] David G. Stork,et al. Pattern Classification , 1973 .
[2] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[3] Hermann Ney,et al. Reversing and Smoothing the Multinomial Naive Bayes Text Classifier , 2002, PRIS.
[4] Sven C. Martin,et al. Statistical Language Modeling Using Leaving-One-Out , 1997 .
[5] Javier Lafuente,et al. Comparación de codificaciones de documentos para clasificación con K vecinos más próximos , 2002 .
[6] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[7] Andrew McCallum,et al. Using Maximum Entropy for Text Classification , 1999 .
[8] Andrew McCallum,et al. A comparison of event models for naive bayes text classification , 1998, AAAI 1998.
[9] F ChenStanley,et al. An Empirical Study of Smoothing Techniques for Language Modeling , 1996, ACL.
[10] Thomas M. Cover,et al. Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing) , 2006 .
[11] Sebastian Thrun,et al. Text Classification from Labeled and Unlabeled Documents using EM , 2000, Machine Learning.
[12] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[13] Yiming Yang,et al. A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.