文件名称:svm--km
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 4.24mb
- 下载次数:
- 0次
- 提 供 者:
- 李**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
这是一个很好的支持向量机工具箱,它可用于模式识别,图像识别,文字识别,语音识别和手写体识别等领域。-This is a very good support vector machine toolbox, it can be used for pattern recognition, image recognition, text recognition, speech recognition and handwriting recognition and other fields.
相关搜索: SVM
识别
文字识别
支持向量机
语音识别
image
recognition
text
支持向量机工具箱
SVM
for
speech
图像识
鍚戦噺鏈?p=
speech
RECOGNITION
SUPPORT
VECTOR
MACHINE
识别
文字识别
支持向量机
语音识别
image
recognition
text
支持向量机工具箱
SVM
for
speech
图像识
鍚戦噺鏈?p=
speech
RECOGNITION
SUPPORT
VECTOR
MACHINE
(系统自动生成,下载前可以参看下载内容)
下载文件列表
svm--km
.......\SVM-KM
.......\......\AdaptScalSVM
.......\......\............\costlbfixed.m
.......\......\............\costlfixed.m
.......\......\............\costwbfixed.m
.......\......\............\costwfixed.m
.......\......\............\ExampledemoAdaptScal.m
.......\......\............\ExampleFeatSelAdaptScal.m
.......\......\............\gradlbfixed.m
.......\......\............\gradlfixed.m
.......\......\............\gradwbfixed.m
.......\......\............\gradwfixed.m
.......\......\............\LagrangeUpdate.m
.......\......\............\SigmaUpdate.m
.......\......\............\svmfit.asv
.......\......\............\svmfit.m
.......\......\............\svmfitconj.m
.......\......\contents.m
.......\......\cout.m
.......\......\dataset1.mat
.......\......\dataset2.mat
.......\......\dataset3.mat
.......\......\datasets.m
.......\......\featselreg
.......\......\..........\exfeatselreg1.m
.......\......\..........\FeatSelregalpha.m
.......\......\..........\FeatSelregalphaGD.m
.......\......\..........\FeatSelregalphaGDrandom.m
.......\......\..........\FeatSelreglinearL1.m
.......\......\..........\FeatSelregmargin.m
.......\......\..........\FeatSelregmarginGD.m
.......\......\..........\FeatSelregmarginGDrandom.m
.......\......\..........\FeatSelregr2w2.m
.......\......\..........\FeatSelregr2w2GD.m
.......\......\..........\FeatSelregr2w2GDrandom.m
.......\......\..........\FeatSelregspanbound.m
.......\......\..........\FeatSelregspanboundGD.m
.......\......\..........\FeatSelregspanboundGDrandom.m
.......\......\..........\r2alpharegL2.m
.......\......\..........\spanestimateregL2.m
.......\......\FeatureSelection
.......\......\................\featselcorrcoeff.m
.......\......\................\featselkernelderivative.m
.......\......\................\FeatSelmargdif.m
.......\......\................\FeatSelmargdif1v1.m
.......\......\................\FeatSelmargin.m
.......\......\................\FeatSelr2w2.m
.......\......\................\FeatSelr2w2diff.m
.......\......\fileaccess.m
.......\......\functioneval.m
.......\......\gda.m
.......\......\givrot.m
.......\......\kbp
.......\......\...\BuildTrapScale.m
.......\......\...\calcdistance.m
.......\......\...\CalcTrapScale.m
.......\......\...\exlar.m
.......\......\...\exlar1.m
.......\......\...\exlarrealdata.m
.......\......\...\exlarsignalclassif.m
.......\......\...\exmultikernellarclass.m
.......\......\...\HingeLAR.m
.......\......\...\HingeLAR2.m
.......\......\...\LAR.m
.......\......\...\LARval.m
.......\......\...\multiplekernel.m
.......\......\...\normalizekernelLAR.m
.......\......\...\plot2Ddec.m
.......\......\...\pyrim.mat
.......\......\...\testHingeLAR.m
.......\......\kernelpca.m
.......\......\kernelpcaproj.m
.......\......\kernelset.m
.......\......\libsvminterface
.......\......\...............\mexSVMClass.dll
.......\......\...............\mexSVMClass.mexglx
.......\......\...............\mexSVMTrain.dll
.......\......\...............\mexSVMTrain.mexglx
.......\......\...............\svmclasslib.m
.......\......\...............\svmvallib.m
.......\......\license.txt
.......\......\LPsvmclass.m
.......\......\LPsvmreg.m
.......\......\monqp.m
.......\......\monqpCinfty.m
.......\......\normalizekernel.m
.......\......\phispan.m
.......\......\r2smallestsphere.m
.......\......\regpath
.......\......\.......\exregpathoneclasssvm.asv
.......\......\.......\exregpathoneclasssvm.m
.......\......\.......\regpathsvmoneclass.m
.......\......\.......\TransformPathFromNu.m
.......\......\regsolve.m
.......\......\rncalc.m
.......\......\rnval.m
.......\......\spanestimate.m
.......\......\svmclass.m
.......\......\svmclassL2.m
.......\SVM-KM
.......\......\AdaptScalSVM
.......\......\............\costlbfixed.m
.......\......\............\costlfixed.m
.......\......\............\costwbfixed.m
.......\......\............\costwfixed.m
.......\......\............\ExampledemoAdaptScal.m
.......\......\............\ExampleFeatSelAdaptScal.m
.......\......\............\gradlbfixed.m
.......\......\............\gradlfixed.m
.......\......\............\gradwbfixed.m
.......\......\............\gradwfixed.m
.......\......\............\LagrangeUpdate.m
.......\......\............\SigmaUpdate.m
.......\......\............\svmfit.asv
.......\......\............\svmfit.m
.......\......\............\svmfitconj.m
.......\......\contents.m
.......\......\cout.m
.......\......\dataset1.mat
.......\......\dataset2.mat
.......\......\dataset3.mat
.......\......\datasets.m
.......\......\featselreg
.......\......\..........\exfeatselreg1.m
.......\......\..........\FeatSelregalpha.m
.......\......\..........\FeatSelregalphaGD.m
.......\......\..........\FeatSelregalphaGDrandom.m
.......\......\..........\FeatSelreglinearL1.m
.......\......\..........\FeatSelregmargin.m
.......\......\..........\FeatSelregmarginGD.m
.......\......\..........\FeatSelregmarginGDrandom.m
.......\......\..........\FeatSelregr2w2.m
.......\......\..........\FeatSelregr2w2GD.m
.......\......\..........\FeatSelregr2w2GDrandom.m
.......\......\..........\FeatSelregspanbound.m
.......\......\..........\FeatSelregspanboundGD.m
.......\......\..........\FeatSelregspanboundGDrandom.m
.......\......\..........\r2alpharegL2.m
.......\......\..........\spanestimateregL2.m
.......\......\FeatureSelection
.......\......\................\featselcorrcoeff.m
.......\......\................\featselkernelderivative.m
.......\......\................\FeatSelmargdif.m
.......\......\................\FeatSelmargdif1v1.m
.......\......\................\FeatSelmargin.m
.......\......\................\FeatSelr2w2.m
.......\......\................\FeatSelr2w2diff.m
.......\......\fileaccess.m
.......\......\functioneval.m
.......\......\gda.m
.......\......\givrot.m
.......\......\kbp
.......\......\...\BuildTrapScale.m
.......\......\...\calcdistance.m
.......\......\...\CalcTrapScale.m
.......\......\...\exlar.m
.......\......\...\exlar1.m
.......\......\...\exlarrealdata.m
.......\......\...\exlarsignalclassif.m
.......\......\...\exmultikernellarclass.m
.......\......\...\HingeLAR.m
.......\......\...\HingeLAR2.m
.......\......\...\LAR.m
.......\......\...\LARval.m
.......\......\...\multiplekernel.m
.......\......\...\normalizekernelLAR.m
.......\......\...\plot2Ddec.m
.......\......\...\pyrim.mat
.......\......\...\testHingeLAR.m
.......\......\kernelpca.m
.......\......\kernelpcaproj.m
.......\......\kernelset.m
.......\......\libsvminterface
.......\......\...............\mexSVMClass.dll
.......\......\...............\mexSVMClass.mexglx
.......\......\...............\mexSVMTrain.dll
.......\......\...............\mexSVMTrain.mexglx
.......\......\...............\svmclasslib.m
.......\......\...............\svmvallib.m
.......\......\license.txt
.......\......\LPsvmclass.m
.......\......\LPsvmreg.m
.......\......\monqp.m
.......\......\monqpCinfty.m
.......\......\normalizekernel.m
.......\......\phispan.m
.......\......\r2smallestsphere.m
.......\......\regpath
.......\......\.......\exregpathoneclasssvm.asv
.......\......\.......\exregpathoneclasssvm.m
.......\......\.......\regpathsvmoneclass.m
.......\......\.......\TransformPathFromNu.m
.......\......\regsolve.m
.......\......\rncalc.m
.......\......\rnval.m
.......\......\spanestimate.m
.......\......\svmclass.m
.......\......\svmclassL2.m