Suykens J A K,Vandewalle J.Least square support vector machine classifier[J].Neural Processing Letters,1999,9(3):293-300.
[2]
杨绪兵,陈松灿.基于原型超平面的多类最接近支持向量机[J].计算机研究与发展,2006,43(10):1700-1705. Yang Xubing,Chen Songcan.Proximal support vector machine based on prototypal multiclassification hyperplanes[J].Journal of Computer Research and Development,2006,43(10):1700-1705.(in Chinese)
[3]
Niu Lingfeng.Parallel algorithm for training multiclass proximal Support Vector Machines[J].Applied Mathematics and Computation,2011,217(12):5328-5337.
[4]
Jayadeva K R,Chandra S.Fuzzy linear proximal support vector machines for multi-category data classification[J].Neurocomputing,2005,67(8):426-435.
[5]
Yang Xubing,Chen Songcan,Chen Bin,et al.Proximal support vector machine using local information[J].Neurocomputing,2009,73(1-3):357-365.
[6]
Reshma K,Anuj K,Suresh C.Generalized eigenvalue proximal support vector regressor[J].Expert Systems with Applications,2011,38(10):13136-13142.
[7]
Sugumaran V,Muralidharan V,Ramachandran K I.Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing[J].Mechanical Systems and Signal Processing,2007,21(2):930-942.
[8]
Saravanan N,Kumar V N S,Ramachandran K I.Fault diagnosis of spur bevel gear box using artificial neural network (ANN),and proximal support vector machine (PSVM)[J].Applied Soft Computing,2010,10(1):344-360.
[9]
Duda R O,Hart P E,Stork D G.Pattern Classification[M].Second Edition.New York:Wiley-Interscience,2000.239-245.
[10]
Schlkopf B,Mika S,et al.Input space versus feature space in kernel based methods[J].IEEE Transactions on Neural Networks,1999,10(5):1000-1017.
[11]
Mangasarian O L,Wild E W.Multisurface proximal support vector machine classification via generalized eigenvalues[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2006,28(1):69-74.
[12]
王国胜,钟义信.支持向量机的若干新进展[J].电子学报,2001,29(10):1397-1400. Wang Guosheng,Zhong yixin.Somenew developments on support vector machine[J].Acta Electronica Sinica,2001,29(10):1397-1400.(in Chinese)
[13]
方景龙,陈铄,潘志庚,梁荣华.复杂分类问题支持向量机的简化[J].电子学报,2007,35(5):858-861. FANG Jinglong,CHEN Shuo,PAN Zhigeng,LIANG Ronghua.Simplification to support vector machine for complicated recognition problem[J].Acta Electronica Sinica,2007,35(5):858-861.(in Chinese)
[14]
Reshma K,Jayadeva,Suresh C.Knowledge based proximal support vector machines[J].European Journal of Operational Research,2009,195(3):914-923.
[15]
Murphy P M,Aha D W.UCI machine learningrepository[OL].http://www.ics.uci.edu/～mlearn/MLRepository.html,1992.
[16]
Fung G,Mangasarian O L.Proximal support vector machine classifier[A].Proc of the 7th ACM SIGKDD International Coference on Knowledeg Discovery and Data Mining[C].San Francisco:ACM,2001.77-82.
[17]
Vapnik V N.The Nature of Statistical Learning Theory[M].Second Edition.New York:Springer Press,2000.
