文件名称:MLTOOLS0p134
- 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:
- 309kb
- 下载次数:
- 0次
- 提 供 者:
- k**
- 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
MLTools: A machine learning tool
(系统自动生成,下载前可以参看下载内容)
下载文件列表
MLTOOLS0p134\demMppca1.m
............\kbrDisplay.m
............\kbrOutputGrad.m
............\kbrParamInit.m
............\kpcaEmbed.m
............\linearCreate.m
............\linearDisplay.m
............\linearExpandParam.m
............\linearExtractParam.m
............\linearLogLikeGradients.m
............\linearParamInit.m
............\lleEmbed.m
............\lvmClassVisualise.m
............\lvmScatterPlot.m
............\lvmScatterPlotColor.m
............\lvmTwoDPlot.m
............\mappingOptimise.m
............\kbrExpandParam.m
............\html\index.html
............\....\demOilLle1.png
............\....\demOilLle2.png
............\....\demSwissRollLle1.png
............\....\demSwissRollLle2.png
............\....\demSwissRollFullLle1.png
............\....\demSwissRollFullLle2.png
............\mlpCreate.m
............\mlpExtractParam.m
............\mlpLogLikeGradients.m
............\mlpLogLikeHessian.m
............\mlpLogLikelihood.m
............\mlpOptimise.m
............\mlpOptions.m
............\mlpOut.m
............\mlpOutputGrad.m
............\mlpOutputGradX.m
............\mlpParamInit.m
............\mltoolsToolboxes.m
............\modelOutputGrad.m
............\modelOutputGradX.m
............\modelParamInit.m
............\modelPointLogLikelihood.m
............\modelSamp.m
............\modelTest.m
............\mogEstep.m
............\mogLowerBound.m
............\mogOptimise.m
............\imageModify.m
............\mogOptions.m
............\imageVisualise.m
............\isomapEmbed.m
............\kbrCreate.m
............\kbrExtractParam.m
............\lmvuEmbed.m
............\mogUpdateCovariance.m
............\mogUpdateMean.m
............\mogUpdatePrior.m
............\multimodelCreate.m
............\multimodelDisplay.m
............\multimodelExpandParam.m
............\kbrOptimise.m
............\kbrOptions.m
............\kbrOut.m
............\linearLogLikelihood.m
............\multimodelExtractParam.m
............\multimodelOptions.m
............\multimodelLogLikeGradients.m
............\multimodelLogLikelihood.m
............\linearOptimise.m
............\linearOptions.m
............\linearOut.m
............\linearOutputGrad.m
............\linearOutputGradX.m
............\mlpDisplay.m
............\mlpExpandParam.m
............\modelCreate.m
............\modelDisplay.m
............\modelExpandParam.m
............\modelExtractParam.m
............\multimodelParamInit.m
............\ppcaEmbed.m
............\rbfCreate.m
............\rbfDisplay.m
............\rbfExpandParam.m
............\rbfExtractParam.m
............\rbfOptimise.m
............\rbfOptions.m
............\modelGenerator.py
............\modelGradient.m
............\modelGradientCheck.m
............\modelHessian.m
............\modelLogLikeGradients.m
............\modelLogLikelihood.m
............\modelObjective.m
............\modelOptimise.m
............\modelOptions.m
............\modelOut.m
............\modelTieParam.m
............\rbfOut.m
............\rbfOutputGrad.m
............\mogCreate.m
............\kbrDisplay.m
............\kbrOutputGrad.m
............\kbrParamInit.m
............\kpcaEmbed.m
............\linearCreate.m
............\linearDisplay.m
............\linearExpandParam.m
............\linearExtractParam.m
............\linearLogLikeGradients.m
............\linearParamInit.m
............\lleEmbed.m
............\lvmClassVisualise.m
............\lvmScatterPlot.m
............\lvmScatterPlotColor.m
............\lvmTwoDPlot.m
............\mappingOptimise.m
............\kbrExpandParam.m
............\html\index.html
............\....\demOilLle1.png
............\....\demOilLle2.png
............\....\demSwissRollLle1.png
............\....\demSwissRollLle2.png
............\....\demSwissRollFullLle1.png
............\....\demSwissRollFullLle2.png
............\mlpCreate.m
............\mlpExtractParam.m
............\mlpLogLikeGradients.m
............\mlpLogLikeHessian.m
............\mlpLogLikelihood.m
............\mlpOptimise.m
............\mlpOptions.m
............\mlpOut.m
............\mlpOutputGrad.m
............\mlpOutputGradX.m
............\mlpParamInit.m
............\mltoolsToolboxes.m
............\modelOutputGrad.m
............\modelOutputGradX.m
............\modelParamInit.m
............\modelPointLogLikelihood.m
............\modelSamp.m
............\modelTest.m
............\mogEstep.m
............\mogLowerBound.m
............\mogOptimise.m
............\imageModify.m
............\mogOptions.m
............\imageVisualise.m
............\isomapEmbed.m
............\kbrCreate.m
............\kbrExtractParam.m
............\lmvuEmbed.m
............\mogUpdateCovariance.m
............\mogUpdateMean.m
............\mogUpdatePrior.m
............\multimodelCreate.m
............\multimodelDisplay.m
............\multimodelExpandParam.m
............\kbrOptimise.m
............\kbrOptions.m
............\kbrOut.m
............\linearLogLikelihood.m
............\multimodelExtractParam.m
............\multimodelOptions.m
............\multimodelLogLikeGradients.m
............\multimodelLogLikelihood.m
............\linearOptimise.m
............\linearOptions.m
............\linearOut.m
............\linearOutputGrad.m
............\linearOutputGradX.m
............\mlpDisplay.m
............\mlpExpandParam.m
............\modelCreate.m
............\modelDisplay.m
............\modelExpandParam.m
............\modelExtractParam.m
............\multimodelParamInit.m
............\ppcaEmbed.m
............\rbfCreate.m
............\rbfDisplay.m
............\rbfExpandParam.m
............\rbfExtractParam.m
............\rbfOptimise.m
............\rbfOptions.m
............\modelGenerator.py
............\modelGradient.m
............\modelGradientCheck.m
............\modelHessian.m
............\modelLogLikeGradients.m
............\modelLogLikelihood.m
............\modelObjective.m
............\modelOptimise.m
............\modelOptions.m
............\modelOut.m
............\modelTieParam.m
............\rbfOut.m
............\rbfOutputGrad.m
............\mogCreate.m