Computer Science ›› 2014, Vol. 41 ›› Issue (4): 230-232.
Previous Articles Next Articles
SUN De-shan,ZHAO Jun,GAO Cai-kui,ZHENG Ping and LIU Xiao-fei
| [1] Vapnik V N．The Nature of Statistical Learning Theory [M]．Berlin:Springer-Verlag,1995 [2] Burges C J C．A tutorial on support vector machines for pattern recognition[J]．Knowledge Discovery and Data Mining,1998,2(2):34-38 [3] Smola A J,Scholkopf B．A tutorial on support vector regression[R].NeuroCOLT TR NC-TR 98-030．Royal Holloway College University of London,UK,1998 [4] Suykens J A K,Vandewalle J．Least squares support vector machines classifiers[J]．Neural Processing Letters,1999,9(3):293-300 [5] 陶卿,孙德敏,范劲松,等．基于闭凸包收缩的最大边缘线性分类器[J].软件学报,2002,3(3):404-409 [6] 陶卿,曹进得,孙德敏．基于支持向量机分类的回归算法[J]．软件学报,2002,13(5):1024-1028 [7] Scholkopf B,Williamson R C,Smola A J,et al．Support vector method for novelty detection[J]．Advances in Neural Information Processing Systems,2000,2(3):582-588 [8] Scholkopf B,Platt J C,Shawe-Taylor J,et al．Estimating the support of a high-dimensional distribution[J]．Neural Computation,2001,3(7):1443-1471 [9] 徐磊,赵光宙．基于模糊一类支持向量机的核聚类算法[J]．控制与决策,2008,3(9):1030-1034 [10] 田江,顾宏．孤立点一类支持向量机算法研究[J].电子与信息学报,2010,2(6):1284-1288 [11] 张庆,徐光华,华成,等．一类支持向量机的设备状态自适应报警方法[J]．西安交通大学学报:自然科学版,2009,1:61-65 [12] 陈伟,余旭初,张鹏强,等．基于一类支持向量机的高光谱影像地物识别[J].计算机应用,2011,1(8):2092-2096 [13] Mangasarian O L．Arbitrary-norm separating plane[J]．Operations Research Letters,1999,1(24):15-23 |
| No related articles found! |
|
||
Home