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基于支持向量机的手写数字识别(小论文+matlab编程及结果)

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  • Update : 2011-05-22
  • Size : 1.1mb
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  • Author :ddx579@163.com
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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
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Packet : 基于支持向量机的手写数字识别(小论文+matlab编程及结果).rar filelist
机器学习\102081504_任修齐.doc
机器学习\2自编程序\CharacterRecognitionLibsvm.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\COPYRIGHT
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\heart_scale.mat
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\a_template_flow_usingSVM_class.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\a_template_flow_usingSVM_regress.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\fasticaForSVM.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\gaSVMcgForClass.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\gaSVMcgForRegress.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\gaSVMcgpForRegress.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\bs2rv.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\contents.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\crtbase.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\crtbp.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\crtrp.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\migrate.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\mpga.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\mut.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\mutate.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\mutbga.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\ranking.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\recdis.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\recint.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\reclin.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\recmut.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\recombin.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\reins.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\rep.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\resplot.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\rws.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\scaling.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\select.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\sus.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovdp.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovdprs.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovmp.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovsh.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovshrs.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovsp.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovsprs.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\mapminmax.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\plotroc.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\roc.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\pcaForSVM.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\psoSVMcgForClass.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\psoSVMcgForRegress.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\readme[by faruto].txt
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\scaleForSVM.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\SVC.m
机器学习\3算法工具\libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by farut
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