张春华.支持向量机中最优化问题的研究[D].北京:中国农业大学经济管理学院,2004.ZHANG Chun-hua.Optimization problems in supportvector machines[D].Beijing:College of Economics&Management,China Agricultural University,2004.(inChinese)
[3]
WESTON J,COLLOBERT R,SINZ F,et al.Inferencewith the Universum[C]∥Proceedings of the 23rdInternational Conference on Machine Learning,Pittsburge,Pennsylvania,June 25-29,2006:1009-1016.
[4]
KING I.Maximum margin semi-supervised learning withirrelevant data[C/OL]∥The 7th Chinese Worshop onMachine Learning and Applications.[2010-12-12].http:∥lamda.nju.edu.cn/conf/MLA09/program.htm,Nan-jing,November 6-8,2009.
[5]
CHERKASSKY V,DAI W Y.Empirical study of theuniversum SVM learning for high-dimensional data[C]∥Proceedings of the 19th International Conference onArtificial Neural Networks:PartⅠ,Limassol Cyprus,September 14-17,2009:932-941.
[6]
HUANG Kai-zhu,XU Zeng-lin,KING I,et al.Semi-supervised learning from general unlabeled data[C]∥The8th IEEE International Conference on Data Mining,Pisa,Italy,December 15-19,2008:273-282.
[7]
CHEN Shuo,ZHANG Chang-shui.Selecting informativeuniversum sample for semi-supervised learning[C]∥Proceedings of the 21st International Jont Conference,Pasadena,July 11-17,2009:1016-1021.
[8]
ZHANG Dan,WANG Jing-dong,WANG Fei,et al.Semi-supervised classification with universum[C]∥In SIAMInternational Conference on Data Mining(SDM),Atlanta,April 24-26,2008:323-333.
[9]
JIAO Yue,ZHANG Xin-feng,ZHUO Li,et al.Tongueimage classification based on universum SVM[C]∥The3rd International Conference on BioMedical Engineeringand Informatics,Yantai,October 16-18,2010,2:657-660.
[10]
邵信光,杨慧中,陈刚.基于粒子群优化算法的支持向量机参数选择及其应[J].控制理论与应用,2006,23(5):740-743,748.SHAO Xin-guang,YANG Hui-zhong,CHEN Gang.Parameters selection and application of support vectormachines based on particle swarm optimization algorithm[J].Control Theory&Applications,2006,23(5):740-743,748.(in Chinese)
[11]
袁小艳,刘爱伦.基于PSO算法的支持向量机核参数选择问题研究[J].自动化技术与应用,2007,26(5):5-8.YUAN Xiao-yan,LIU Ai-lun.Kernel parameter selectionof the support vector machine based on particle swarmoptimization[J].Techniques of Automation andApplication,2007,26(5):5-8.(in Chinese)
[12]
姚全珠,蔡婕.基于PSO的LS-SVM特征选择与参数优化算法[J].计算机工程与应用,2010,46(1):134-136,229.YAO Quan-zhu,CAI Jie.Feature selection and LS-SVMparameters optimization algorithm based on PSO[J].Computer Engineering and Applications,2010,46(1):134-136,229.
[13]
SHI Y H,EBERHART R.A modified particle swarmoptimizer[C]∥Proceedings of IEEE World Congress onComputational Intelligence,New York,May 4-9,1998:69-73.
[14]
吴涛.核函数的性质、方法及其在障碍检测中的应用[D].长沙:国防科学技术大学机电工程与自动化学院,2003:18-23.WU Tao.Kernels'properties,tricks and its applicationson obstacle detection[D].Changsha:College ofMechatronic Engineering and Automation,NationalUniversity of Defense Technology,2003:18-23.(inChinese)
[15]
王东,吴湘滨.利用粒子群算法优化SVM分类器的超参数[J].计算机应用,2008,28(1):134-135,139.WANG Dong,WU Xiang-bin.Utilizing particle swarmoptimization to optimize hyper-parameters of SVMclassifier[J].Computer Applications,2008,28(1):134-135,139.(in Chinese)
[16]
陈帅,朱建宁,潘俊,等.最小二乘支持向量机的参数优化及其应用[J].华东理工大学学报:自然科学版,2008,34(2):278-282.CHEN Shuai,ZHU Jian-ning,PAN Jun,et al.Parameters optimization of LS-SVM and its application[J].Journal of East China University of Science andTechnology:Natural Science Edition,2008,34(2):278-282.
