文件名称:GPLVM2p11
- 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：
- 2014-12-21
- 文件大小：
- 2.84mb
- 下载次数：
- 0次
- 提 供 者：
- 张**
- 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
高斯过程隐变量模型的matlab源代码，实现了back-constraint 加速-gaussian processes latent variable model
(系统自动生成,下载前可以参看下载内容)
下载文件列表
GPLVM2p11
.........\Contents.m
.........\IVM
.........\...\Contents.m
.........\...\demClassification1.m
.........\...\demClassification2.m
.........\...\demClassification3.m
.........\...\demEP1.m
.........\...\demOrdered1.m
.........\...\demOrdered2.m
.........\...\demRegression1.m
.........\...\demRegression2.m
.........\...\demThreeFive.m
.........\...\demThreeFiveResults.m
.........\...\demUnlabelled1.m
.........\...\demUnlabelled2.m
.........\...\demUsps1.m
.........\...\demUsps2.m
.........\...\demUsps3.m
.........\...\fileVersions.dat
.........\...\html
.........\...\....\demBanana1.png
.........\...\....\demClassificationOne1.png
.........\...\....\demClassificationThree3.png
.........\...\....\demClassificationTwo2.png
.........\...\....\demOrderedOne1.png
.........\...\....\demOrderedTwo2.png
.........\...\....\demRegressionOne1.png
.........\...\....\demRegressionTwo2.png
.........\...\....\demThreeFive.png
.........\...\....\demUnlabelledOne1.png
.........\...\....\demUnlabelledOne2.png
.........\...\....\index.html
.........\...\ivm.m
.........\...\ivm3dPlot.m
.........\...\ivmAddPoint.m
.........\...\ivmApproxGradX.m
.........\...\ivmApproxLogLikeKernGrad.m
.........\...\ivmApproxLogLikelihood.m
.........\...\ivmComputeInfoChange.m
.........\...\ivmComputeLandM.m
.........\...\ivmContour.m
.........\...\ivmCovarianceGradient.m
.........\...\ivmCreate.m
.........\...\ivmDeconstruct.m
.........\...\ivmDisplay.m
.........\...\ivmDowndateM.m
.........\...\ivmDowndateNuG.m
.........\...\ivmDowndateSites.m
.........\...\ivmEpLogLikelihood.m
.........\...\ivmEpUpdateM.m
.........\...\ivmEpUpdatePoint.m
.........\...\ivmGradX.m
.........\...\ivmGunnarData.m
.........\...\ivmInit.m
.........\...\ivmKernelGradient.m
.........\...\ivmKernelObjective.m
.........\...\ivmLogLikelihood.m
.........\...\ivmMeshVals.m
.........\...\ivmNegGradientNoise.m
.........\...\ivmNegLogLikelihood.m
.........\...\ivmOptimise.m
.........\...\ivmOptimiseIVM.m
.........\...\ivmOptimiseKernel.m
.........\...\ivmOptimiseNoise.m
.........\...\ivmOptions.m
.........\...\ivmOut.m
.........\...\ivmPosteriorGradMeanVar.m
.........\...\ivmPosteriorMeanVar.m
.........\...\ivmPrintPlot.m
.........\...\ivmReadFromFID.m
.........\...\ivmReadFromFile.m
.........\...\ivmReconstruct.m
.........\...\ivmRemovePoint.m
.........\...\ivmRun.m
.........\...\ivmSelectPoint.m
.........\...\ivmSelectPoints.m
.........\...\ivmSelectVisualise.m
.........\...\ivmToolboxes.m
.........\...\ivmUpdateM.m
.........\...\ivmUpdateNuG.m
.........\...\ivmUpdateSites.m
.........\...\ivmUspsResults.m
.........\...\ivmVirtual.m
.........\...\ncnmContour.m
.........\...\readme.txt
.........\...\vivmRunDataSet.m
.........\...\vivmRunDataSetLearn.m
.........\...\vivmUspsResults.m
.........\KERN0p221
.........\.........\Contents.m
.........\.........\W.f
.........\.........\ardKernCompute.m
.........\.........\ardKernDiagCompute.m
.........\.........\ardKernDiagGradX.m
.........\.........\ardKernDiagGradient.m
.........\.........\ardKernDisplay.m
.........\.........\ardKernExpandParam.m
.........\.........\ardKernExtractParam.m
.........\.........\ardKernGradX.m