文件名称:ooDACE-1.4[1]

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  • 语音合成与识别
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2017-05-02
  • 文件大小:
  • 3.33mb
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  • 是*
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KRIGING 用于对数据进行建模,得到有概率信息的模型。 -KRIGING TOOLBOX
(系统自动生成,下载前可以参看下载内容)

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ooDACE

......\@BasicGaussianProcess

......\.....................\BasicGaussianProcess.m

......\.....................\correlationFunction.m

......\.....................\cvpe.m

......\.....................\extrinsicCorrelationMatrix.m

......\.....................\fit.m

......\.....................\generateDegrees.m

......\.....................\getExpression.m

......\.....................\imse.m

......\.....................\intrinsicCovarianceMatrix.m

......\.....................\likelihood.m

......\.....................\marginalLikelihood.m

......\.....................\mseTestset.m

......\.....................\plotLikelihood.m

......\.....................\plotVariogram.m

......\.....................\predict.m

......\.....................\predict_derivatives.m

......\.....................\pseudoLikelihood.m

......\.....................\rcValues.m

......\.....................\regressionFunction.m

......\.....................\regressionMatrix.m

......\.....................\tuneParameters.m

......\.....................\updateModel.m

......\.....................\updateRegression.m

......\.....................\updateStochasticProcess.m

......\@BlindKriging

......\.............\BlindKriging.m

......\.............\fit.m

......\.............\polynomialCoding.m

......\.............\posteriorBeta.m

......\.............\regressionFunction.m

......\.............\regressionMatrix.m

......\.............\Rmatrix.m

......\@CoKriging

......\..........\CoKriging.m

......\..........\correlationFunction.m

......\..........\extrinsicCorrelationMatrix.m

......\..........\fit.m

......\..........\intrinsicCovarianceMatrix.m

......\..........\regressionFunction.m

......\..........\regressionMatrix.m

......\..........\setData.m

......\@Kriging

......\........\cvpe.m

......\........\getExpression.m

......\........\Kriging.m

......\........\predict.m

......\........\predict_derivatives.m

......\........\setData.m

......\agpl-3.0.txt

......\basisfunctions

......\..............\corrcubic.m

......\..............\correxp.m

......\..............\corrgauss.m

......\..............\corrgaussp.m

......\..............\corrlin.m

......\..............\corrmatern32.m

......\..............\corrmatern32iso.m

......\..............\corrmatern32_iso.m

......\..............\corrmatern32_variance.m

......\..............\corrmatern52.m

......\..............\corrspherical.m

......\..............\corrspline.m

......\..............\covmatern32.m

......\changelog.txt

......\contrib

......\.......\cholincsp.m

......\.......\sqplab-0.4.5-distrib

......\.......\....................\COPYING

......\.......\....................\doc

......\.......\....................\...\doc.pdf

......\.......\....................\example

......\.......\....................\.......\hanging_chain.m

......\.......\....................\.......\hanging_chain_data.m

......\.......\....................\.......\hanging_chain_dimopt.m

......\.......\....................\.......\hanging_chain_initopt.m

......\.......\....................\.......\hanging_chain_orig.eps

......\.......\....................\.......\hanging_chain_orig.res

......\.......\....................\.......\hanging_chain_plot.m

......\.......\....................\.......\hanging_chain_plot_params.m

......\.......\....................\.......\hanging_chain_postopt.m

......\.......\....................\.......\hanging_chain_simul.m

......\.......\....................\.......\README

......\.......\....................\src

......\.......\....................\...\sqplab.m

......\.......\....................\...\sqplab_armijo.m

......\.......\....................\...\sqplab_badsimul.m

......\.......\....................\...\sqplab_bfgs.m

......\.......\....................\...\sqplab_bfgs_inv.m

......\.......\....................\...\sqplab_checkoptions.m

......\.......\....................\...\sqplab_dnorm.m

......\.......\....................\...\sqplab_finish.m

......\.......\....................\...\sqplab_givens.m

......\.......\....................\...\sqplab_lgivens.m

......\.......\....................\...\sqplab_loop.m

......\....

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