Computer Science ›› 2015, Vol. 42 ›› Issue (6): 239-242.doi: 10.11896/j.issn.1002-137X.2015.06.050

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WFCD-based Rough Set One-class Support Vector Machine

TIAN Hao-bing, ZHU Jia-gang and LU Xiao   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Rough one-class support vector machine(ROCSVM) is a single class SVM.It defines upper approximation and lower approximation hyperplanes by a kernel function mapping,which makes the training samples have an impact on the decision hyperplane adaptively according to the position within the rough margin.Since the ROCSVM only has positive samples,to fully exploit and use the features of the classified training samples have important significance for improving the classification performance of ROCSVM.Thus,we presented a weighted feature-contribution-degree(WFCD) based Gaussian kernel(λ-RBF).First,principal component analysis(PCA) is done to the training set to get vector set sorted by eigenvalues,and then kernel function is constructed based on the vector set,which makes a larger eigenvalue have better effect in the kernel function.Experimental results on UCI standard data sets and simulation data show that compared with the general RBF-based ROCSVM,the λ-RBF based ROCSVM has better generalization and higher re-cognition rate.

Key words: Rough set,One-class SVM,Kernel function,PCA,Hyperplane,Over-fitting

[1] Tax D M J,Duin R P W.Support Vector Data Description [J].Machine Learning,2004,54(1):45-66
[2] Campbell C,Bennett P.A Linear Programming Approach toNovelty Detection [M].Advances in Neural Information Processing Systems.Cambridge:MIT Press,2001
[3] Wang L,Jia H D,Li J.Training Robust Support Vector Machine with Smooth Ramp Loss in the Primal [J].Neurocomputing,2008,71:3020-3025
[4] Lin C F,Wan g S D.Fuzzy Support Vector Machine [J].IEEE Transactions on Neural Networks,2002,13(2):464-471
[5] Xu Yi-tian,Liu Chun-mei.A rough margin-based one class support vector machine[J].Neural Comput & Applic,2013,22:1077-1084
[6] Bishop C M.Pattern Recognition and Machine Learning [M].Cambridge:Springer,2007:291-320
[7] 王磊,杨一帆,周启海.粗糙one-class支持向量机[J].计算机科学,2009,6(9):242-245 Wang Lei,Yang Yi-fan,Zhou Qi-hai.Rough Set based One-class Support Vector Machine[J].Computer Science,2009,6(9):242-245
[8] 秦玉平,王袆,伦淑娴,等.基于超椭球支持向量机的兼类文本分类算法[J].计算机科学,2013,0(11A):98-100 Qin Yu-ping,Wang Yi,Lun Shu-xian,et al.Multi-label Text Classification Algorithm Based on Hyper Ellipsoidal SVM[J].Computer Science,2013,0(11A):98-100

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