6Iwanaga M, Tabata T, Sakurai K. Evaluation of anti-spare methods combining Bayesian filtering and strong challenge and response[ C ]//Prnc IASTED lnt Conf on Corn Network and lnfor Security. Cambridge:[ s. n. ] ,2003:214-219.
7Drucker H, Vapnik V, Wu D. Support Vector Macilines for Spare Categorization [ J ]. IEEE Transactions on Neural Networks, 1999, ] 0 ( 5 ) : 1048-1054.
8Androutsopoulos I,Koutsias J, Chandrinos K V,et al. An evaluation of Naive Bayesian anti-spare filtering[ C ]//Proc of the Workshop on Machine Leanring in the New Informaton Age , 11th European Conference on Machine Learning (ECML' 00 ). Barcelona, Spain : [ s. n. ] ,2000:9-17.
9HUANG J Z, NG M K, RONG Hong-qiang,et al. Automated variable weighting in K-means type clustering [ J]. IEEE Trans on Pattern Analysis and Machine Intelligence,2007,27(5) :657-668.
10Chow C K, Liu C N. Approximating discrete probability dis- tributions with dependence trees. IEEE Transactions on Information Theory, 1968, 14(3): 462-467.
