文件名称:Character-Recognition(Lib-SVM)
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支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。- Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.
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下载文件列表
机器学习\102081504_任修齐.doc
........\2自编程序\CharacterRecognitionLibsvm.m
........\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\COPYRIGHT
........\.........\....................................\heart_scale.mat
........\.........\....................................\implement[by faruto]\a_template_flow_usingSVM_class.m
........\.........\....................................\....................\a_template_flow_usingSVM_regress.m
........\.........\....................................\....................\fasticaForSVM.m
........\.........\....................................\....................\gaSVMcgForClass.m
........\.........\....................................\....................\gaSVMcgForRegress.m
........\.........\....................................\....................\gaSVMcgpForRegress.m
........\.........\....................................\....................\myprivate\gatbx[Sheffield]\bs2rv.m
........\.........\....................................\....................\.........\................\contents.m
........\.........\....................................\....................\.........\................\crtbase.m
........\.........\....................................\....................\.........\................\crtbp.m
........\.........\....................................\....................\.........\................\crtrp.m
........\.........\....................................\....................\.........\................\migrate.m
........\.........\....................................\....................\.........\................\mpga.m
........\.........\....................................\....................\.........\................\mut.m
........\.........\....................................\....................\.........\................\mutate.m
........\.........\....................................\....................\.........\................\mutbga.m
........\.........\....................................\....................\.........\................\ranking.m
........\.........\....................................\....................\.........\................\recdis.m
........\.........\....................................\....................\.........\................\recint.m
........\.........\....................................\....................\.........\................\reclin.m
........\.........\....................................\....................\.........\................\recmut.m
........\.........\....................................\....................\.........\................\recombin.m
........\.........\....................................\....................\.........\................\reins.m
........\.........\....................................\....................\.........\................\rep.m
........\.........\....................................\....................\.........\................\resplot.m
........\.........\....................................\....................\.........\................\rws.m
........\.........\....................................\....................\.........\................\scaling.m
........\.........\....................................\....................\.........\................\select.m
........\.........\....................................\....................\.........\................\sus.m
........\.........\....................................\....................\.........\................\xovdp.m
........\.........\....................................\....................\.........\................\xovdprs.m
........\.........\....................................\....................\.........\................\xovmp.m
........\.........\....................................\....................\.........\................\xovsh.m
........\.........\....................................\....................\.........\................\xovshrs.m
........\.........\....................................\....................\.........\................\xovsp.m
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........\2自编程序\CharacterRecognitionLibsvm.m
........\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\COPYRIGHT
........\.........\....................................\heart_scale.mat
........\.........\....................................\implement[by faruto]\a_template_flow_usingSVM_class.m
........\.........\....................................\....................\a_template_flow_usingSVM_regress.m
........\.........\....................................\....................\fasticaForSVM.m
........\.........\....................................\....................\gaSVMcgForClass.m
........\.........\....................................\....................\gaSVMcgForRegress.m
........\.........\....................................\....................\gaSVMcgpForRegress.m
........\.........\....................................\....................\myprivate\gatbx[Sheffield]\bs2rv.m
........\.........\....................................\....................\.........\................\contents.m
........\.........\....................................\....................\.........\................\crtbase.m
........\.........\....................................\....................\.........\................\crtbp.m
........\.........\....................................\....................\.........\................\crtrp.m
........\.........\....................................\....................\.........\................\migrate.m
........\.........\....................................\....................\.........\................\mpga.m
........\.........\....................................\....................\.........\................\mut.m
........\.........\....................................\....................\.........\................\mutate.m
........\.........\....................................\....................\.........\................\mutbga.m
........\.........\....................................\....................\.........\................\ranking.m
........\.........\....................................\....................\.........\................\recdis.m
........\.........\....................................\....................\.........\................\recint.m
........\.........\....................................\....................\.........\................\reclin.m
........\.........\....................................\....................\.........\................\recmut.m
........\.........\....................................\....................\.........\................\recombin.m
........\.........\....................................\....................\.........\................\reins.m
........\.........\....................................\....................\.........\................\rep.m
........\.........\....................................\....................\.........\................\resplot.m
........\.........\....................................\....................\.........\................\rws.m
........\.........\....................................\....................\.........\................\scaling.m
........\.........\....................................\....................\.........\................\select.m
........\.........\....................................\....................\.........\................\sus.m
........\.........\....................................\....................\.........\................\xovdp.m
........\.........\....................................\....................\.........\................\xovdprs.m
........\.........\....................................\....................\.........\................\xovmp.m
........\.........\....................................\....................\.........\................\xovsh.m
........\.........\....................................\....................\.........\................\xovshrs.m
........\.........\....................................\....................\.........\................\xovsp.m
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