Vapnik V N. The Nature of Statistical Learning Theory. Berlin, Germany: SpringerVerlag, 1995 (Vapnik V N.统计学习理论.许建华,张学工,译.北京:电子工业出版社, 2004)
[2]
Deng Naiyang, Tian Yingjie. Support Vector Machines: New Methods in Data Mining. Beijing, China: Science Press, 2004 (in Chinese) (邓乃扬,田英杰.数据挖掘中的新方法——支持向量机.北京:科学出版社, 2004)
[3]
Xue Yi. Support Vector Machine and Math Programming. Ph.D Dissertation. Beijing, China: Beijing University of Technology. College of Applied Sciences, 2003 (in Chinese) (薛 毅.支持向量机与数学规划.博士学位论文.北京:北京工业大学.应用数理学院, 2003)
[4]
Suykens J A K, Vandewalle J. Least Squares Support Vector Machine Classifiers. Neural Process Letters, 1999, 9(3): 293300
[5]
Suykens J A K, Lukas L, Vandewalle J. Sparse Least Squares Support Vector Machine Classifiers // Proc of the European Symposium on Artificial Neural Networks. Bruges, Belgium, 2000: 3742
[6]
Zhang Li, Zhou Weida, Jiao Licheng. PreExtracting Support Vectors for Support Vector Machine // Proc of the 5th International Conference on Signal Processing. Beijing, China, 2000, Ⅱ: 14321435
[7]
Zhang Li. Support Vector Machine and Kernel. Ph.D Dissertation. Xi’an, China: Xidian University. Key Laboratory of Radar Signal Processing, 2002 (in Chinese) (张 莉.支撑矢量机与核方法研究.博士学位论文.西安:西安电子科技大学.雷达信号处理重点实验室, 2002)
[8]
Cortes C, Vapnik N. Support Vector Networks. Machine Learning, 1995, 20(3): 273297
[9]
Domeniconi C, Gunopulos D. Incremental Support Vector Machine Construction // Proc of IEEE International Conference on Data Mining. San Jose, USA, 2001: 589593
[10]
Blake C L, Merz C J. UCI Repository of Machine Learning Databases [DB/OL]. [20051226]. http://www.ics.uci.edu/~mlearn/databases