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資源簡介

相關向量機 (Relevance Vector Machine, RVM)的回歸應用
語言:MATLAB代碼
版本:V1.3
-----------------------------------------------------
主要功能:
1. 基于SB2_Release_200 工具箱
2. 直觀易用的API
3. 實現回歸模型的訓練和預測
4. 添加多種核函數的支持
5. 添加可視化模塊

資源截圖

代碼片段和文件信息

%{

????Examples?for?kernel?function

????kernel?=?Kernel(‘type‘?‘gauss‘?‘width‘?2);
????kernel?=?Kernel(‘type‘?‘exp‘?‘width‘?2);
????kernel?=?Kernel(‘type‘?‘linear‘?‘offset‘?0);
????kernel?=?Kernel(‘type‘?‘lapl‘?‘width‘?2);
????kernel?=?Kernel(‘type‘?‘sigm‘?‘gamma‘?0.1?‘offset‘?0);
????kernel?=?Kernel(‘type‘?‘poly‘?‘degree‘?2?‘offset‘?0);

%}


clc
clear?all
addpath(genpath(pwd))
x?=?rand(30?5);
y?=?rand(30?5);

kernelmatrix?=?cell(6?1);

%?compute?kernel?matrix?using?gaussian?kernel?function
kernel?=?Kernel(‘type‘?‘gauss‘?‘width‘?2);
kernelmatrix{1?1}?=?kernel.getKernelMatrix(x?y);

%?compute?kernel?matrix?using?exponential?kernel?function
kernel?=?Kernel(‘type‘?‘exp‘?‘width‘?2);
kernelmatrix{2?1}?=?kernel.getKernelMatrix(x?y);

%?compute?kernel?matrix?using?linear?kernel?function
kernel?=?Kernel(‘type‘?‘linear‘?‘offset‘?0);
kernelmatrix{3?1}?=?kernel.getKernelMatrix(x?y);

%?compute?kernel?matrix?using?laplacian?kernel?function
kernel?=?Kernel(‘type‘?‘lapl‘?‘width‘?2);
kernelmatrix{4?1}?=?kernel.getKernelMatrix(x?y);

%?compute?kernel?matrix?using?sigmoid?kernel?function
kernel?=?Kernel(‘type‘?‘sigm‘?‘gamma‘?0.01?‘offset‘?0);
kernelmatrix{5?1}?=?kernel.getKernelMatrix(x?y);

%?compute?kernel?matrix?using?polynomial?kernel?function
kernel?=?Kernel(‘type‘?‘poly‘?‘degree‘?2?‘offset‘?0);
kernelmatrix{6?1}?=?kernel.getKernelMatrix(x?y);


?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????1463??2020-03-18?22:07??demo_KernelMatrix.m
?????文件?????????546??2020-03-18?22:24??demo_RVM.m
?????目錄???????????0??2020-03-18?23:18??func\
?????文件?????????895??2020-03-18?22:15??func\computePretIndex.m
?????文件?????????905??2020-03-18?22:36??func\generateData.m
?????文件?????????978??2020-03-18?22:37??func\plotRelevanceVector.m
?????文件????????1417??2020-03-18?22:37??func\plotResult.m
?????文件????????1673??2020-03-18?22:17??func\rvm_test.m
?????文件????????3888??2020-03-18?22:39??func\rvm_train.m
?????目錄???????????0??2020-03-18?23:18??KernnelMatrix\
?????文件?????????929??2019-12-01?10:57??KernnelMatrix\Kernel.m
?????文件????????1648??2019-12-01?10:58??KernnelMatrix\Kernelbase.m
?????文件????????1053??2020-03-18?22:32??KernnelMatrix\KernelExponential.m
?????文件????????1061??2019-12-01?10:59??KernnelMatrix\KernelFunction.m
?????文件?????????993??2020-03-18?11:35??KernnelMatrix\KernelGaussian.m
?????文件????????1051??2020-03-18?22:31??KernnelMatrix\KernelLaplacian.m
?????文件?????????836??2020-03-18?11:35??KernnelMatrix\KernelLinear.m
?????文件????????1121??2020-03-18?11:35??KernnelMatrix\KernelPolynomial.m
?????文件????????1116??2020-03-18?11:35??KernnelMatrix\KernelSigmoid.m
?????目錄???????????0??2020-03-18?23:18??refs\
?????文件??????958100??2018-10-09?09:26??refs\Tipping_2001_Sparse?Bayesian?learning?and?the?relevance?vector?machine.pdf
?????文件??????228209??2018-10-09?09:26??refs\Tipping_Faul_2003_Fast?marginal?likelihood?maximisation?for?sparse?Bayesian?models.pdf
?????目錄???????????0??2020-03-18?23:18??SB2_Release_200\
?????文件???????15402??2007-04-30?08:27??SB2_Release_200\licence.txt
?????文件????????2740??2009-03-13?09:00??SB2_Release_200\Readme.txt
?????文件????????4564??2009-03-13?09:00??SB2_Release_200\SB2_ControlSettings.m
?????文件????????3845??2009-03-13?09:00??SB2_Release_200\SB2_Diagnostic.m
?????文件????????1627??2009-03-13?09:00??SB2_Release_200\SB2_FormatTime.m
?????文件????????6006??2009-03-13?09:00??SB2_Release_200\SB2_FullStatistics.m
?????文件????????7449??2009-03-13?09:00??SB2_Release_200\SB2_Initialisation.m
?????文件????????2240??2009-03-13?09:00??SB2_Release_200\SB2_Likelihoods.m
............此處省略8個文件信息

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