文件名称:SVR
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在线向量回归分析，有包涵一个例子和内定函数等-On-line vector regression analysis, there is an example of indulgence and unofficially functions, etc.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
OnlineSVR Matlab 7.0 Code\@OnlineSVR
.........................\..........\AddSampleToR.m
.........................\..........\BuildPlot.m
.........................\..........\BuildVideo.m
.........................\..........\CONTAINS.m
.........................\..........\FindBetaAndGamma.m
.........................\..........\FindLearningMinVariation.m
.........................\..........\FindSolution.m
.........................\..........\FindUnlearningMinVariation.m
.........................\..........\FindVariationLc.m
.........................\..........\FindVariationLc1.m
.........................\..........\FindVariationLc2.m
.........................\..........\FindVariationsLe.m
.........................\..........\FindVariationsLr.m
.........................\..........\FindVariationsLs.m
.........................\..........\Forget.m
.........................\..........\INDEXOF.m
.........................\..........\IsContained.m
.........................\..........\IsEquals.m
.........................\..........\Kernel.m
.........................\..........\Learn.m
.........................\..........\Margin.m
.........................\..........\MatrixToString.m
.........................\..........\OnlineSVR.m
.........................\..........\Predict.m
.........................\..........\Q.m
.........................\..........\RemoveSampleFromR.m
.........................\..........\ShowDetails.m
.........................\..........\ShowInfo.m
.........................\..........\ShowMessage.m
.........................\..........\ShowUsage.m
.........................\..........\ShowVariations.m
.........................\..........\SIGN.m
.........................\..........\Stabilize.m
.........................\..........\TimeToString.m
.........................\..........\Train.m
.........................\..........\Unlearn.m
.........................\..........\VerifyKKTConditions.m
.........................\..........\WarmTrain.m
.........................\Example.m
.........................\..........\AddSampleToR.m
.........................\..........\BuildPlot.m
.........................\..........\BuildVideo.m
.........................\..........\CONTAINS.m
.........................\..........\FindBetaAndGamma.m
.........................\..........\FindLearningMinVariation.m
.........................\..........\FindSolution.m
.........................\..........\FindUnlearningMinVariation.m
.........................\..........\FindVariationLc.m
.........................\..........\FindVariationLc1.m
.........................\..........\FindVariationLc2.m
.........................\..........\FindVariationsLe.m
.........................\..........\FindVariationsLr.m
.........................\..........\FindVariationsLs.m
.........................\..........\Forget.m
.........................\..........\INDEXOF.m
.........................\..........\IsContained.m
.........................\..........\IsEquals.m
.........................\..........\Kernel.m
.........................\..........\Learn.m
.........................\..........\Margin.m
.........................\..........\MatrixToString.m
.........................\..........\OnlineSVR.m
.........................\..........\Predict.m
.........................\..........\Q.m
.........................\..........\RemoveSampleFromR.m
.........................\..........\ShowDetails.m
.........................\..........\ShowInfo.m
.........................\..........\ShowMessage.m
.........................\..........\ShowUsage.m
.........................\..........\ShowVariations.m
.........................\..........\SIGN.m
.........................\..........\Stabilize.m
.........................\..........\TimeToString.m
.........................\..........\Train.m
.........................\..........\Unlearn.m
.........................\..........\VerifyKKTConditions.m
.........................\..........\WarmTrain.m
.........................\Example.m