LU Shu-xia
,
CAO Gui-en
,
MENG Jie
,
WANG Hua-chao
. A Sequential Minimal Optimization Algorithm for the Potential Support Vector Machine Based on Sampling[J]. Journal of Hebei University(Natural Science Edition), 2011
, 31(2)
: 113
-117
.
DOI: 10.3969/j.issn.1000-1565.2011.02.001
[1] 周水庚, 范晔, 周傲英, ZHOU Shui-geng, FAN Ye, ZHOU Ao-ying. 基于数据取样的DBSCAN算法 [J]. 小型微型计算机系统 2000.doi:10.3969/j.issn.1000-1220.2000.12.012
[2] Sepp Hochreiter, Klaus Obermayer. Support Vector Machines for Dyadic Data [J]. Neural computation 2006, 6(6).
[3] BRODER A Z, GLASSMAN S C, MANASSE M S. Syntactic clustering of the web [J]. Computer Networks and ISDN Systems 1997, 29(8-13).
[4] OSUNA E, FREUND R, GIROSI F. An improved training algorithm for support vector machines [J]. IEEE Neural Networks for Signal Processing Ⅶ-Proceedings 1997.
[5] JOACHIMS T. Making large-scale SVM learning practical [A]. Cambridge, ma:the Mit Press 1998.
[6] PLATT J. Fast training of support vector machines using sequential minimal optimization [A]. Cambridge, ma:the Mit Press 1999.
[7] Knebel T, Hochreiter S, Obermayer K. An SMO algorithm for the potential support vector machine [J]. Neural computation 2008, 1(1).
[8] Ming-Syan Chen, Jiawei Han. Data mining: an overview from a database perspective [J]. IEEE Transactions on Knowledge and Data Engineering 1996, 6(6).
[9] CHANG CHIH CHUNG, LIN CHIH JEN. LIBSVM a library for support vector machines [EB/OL]. http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm, pdf 2010.