文件名称:StatLSSVM

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支持向量机工具箱By Kris De Brabanter,标准的非参数回归,健壮的回归,一些调优标准等经典交叉验证,较好的交互性-The StatLSSVM toolbox is written so that only a few lines of code are necessary in order to perform standard nonparametric regression, regression with correlated errors and robust regression. In addition, construction of additive models and pointwise or uniform confidence intervals are also supported. A number of tuning criteria such as classical cross-validation, robust cross-validation and cross-validation for correlated errors are available. Also, minimization of the previous criteria is available without any user interaction.
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下载文件列表





latticeseq_b2.m

fossil.mat

fminsearchbnd.m

faithful.mat

diabetes.mat

leaveoneout.m

crossval2lp1.m

crossval.m

densitylssvm.m

csa.m

simplex.m

cilssvm.m

rcrossval.m

densitylssvm2d.m

tunelssvm.m

bimodNW.m

initlssvm.m

rsimplex.m

tbform.m

kernel_matrix.m

kernel_matrix2.m

gcrossval.m

epdfhist.m

plotlssvmadd.m

weightingscheme.m

bitreverse32.m

changelssvm.m

cvl.m

hall.m

huber.m

linf.m

lscvhist.m

lssvmMATLAB.m

mae.m

mse.m

plotlssvm.m

regdata2d.m

robustlssvm.m

simlssvm.m

smootherlssvm.m

trainlssvm.m

nba2.mat

logo.pdf

beluga.mat

birth.mat

UStemp.mat

statgetargs.m

progress.m

nba.mat

lidar.mat

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