svm--km This is a very good support vector machine

Title: svm--km

Category:
AI-NN-PR
Tags:
[Matlab] [源码]
File Size:
4.24mb
Update:
2012-11-26
Downloads:
0 Times
Uploaded by:
liquanlin235

Description: 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.

Downloaders recently: [More information of uploader liquanlin235]

To Search: SVM for speech speech RECOGNITION SUPPORT VECTOR MACHINE HTK_in_chine dtw matl svm Support Vector Machine image recognition text

[information for speech recognition] - information of speech recognition of ms
[Classification-MatLab-Toolbox] - pattern recognition Matlab toolbox, incl
[DSPfixedpoint] - DSP-point computation, mainly provides f
[HandIdentifyRate] - BP neural network handwriting recognitio
[stprtool15aug08] - Statistical pattern recognition algorith
[svm] - Support Vector Machine training Algorith
[GA] - Genetic Algorithms a good template, clea
[SVM_luzhenbo] - Support Vector Machine Toolbox, it can c
[svmtoolboxyanshi] - Support Vector Machines to use the toolb
[ToolBox] - This toolBox used in the image processin

File list (Check if you may need any files):

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