垃圾邮件分类的偏依赖特性研究

Efficient information theoretic strategies for classifier combination, feature extraction and performance evaluation in improving false positives and false negatives for spam e-mail filtering[J] . V. Zorkadis,D.A. Karras,M. Panayotou.Neural Networks . 2005 (5)

An evaluation of statistical spam filtering techniques[J] . Le Zhang,Jingbo Zhu,Tianshun Yao.ACM Transactions on Asian Language Information Processing (TALIP) . 2004 (4)

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis[J] . T. Van Gestel,J. A. K. Suykens,G. Lanckriet,A. Lambrechts,B. De Moor,J. Vandewalle.Neural Computation . 2002 (5)

Efficient information theoretic strategies for classifier combination, feature extraction and performance evaluation in improving false positives and false negatives for spam e-mail filtering[J] . V. Zorkadis,D.A. Karras,M. Panayotou.Neural Networks . 2005 (5)

An evaluation of statistical spam filtering techniques[J] . Le Zhang,Jingbo Zhu,Tianshun Yao.ACM Transactions on Asian Language Information Processing (TALIP) . 2004 (4)

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis[J] . T. Van Gestel,J. A. K. Suykens,G. Lanckriet,A. Lambrechts,B. De Moor,J. Vandewalle.Neural Computation . 2002 (5)