登录
首页 » matlab » matlab-gpml

matlab-gpml

于 2021-03-16 发布
0 227
下载积分: 1 下载次数: 3

代码说明:

说明:  利用GPML-V4.1工具箱实现高斯过程回归(GPR)的多变量数据预测(Using gpml-v4.1 toolbox to realize multivariate data prediction of Gaussian process regression (GPR))

文件列表:

matlab-gpml\gp.m, 10560 , 2020-03-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\.octaverc, 8 , 2010-07-23
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\Copyright, 1837 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\apx.m, 39152 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\apxGrid.m, 38429 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\apxSparse.m, 2915 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\apxState.m, 20647 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covADD.m, 4141 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covConst.m, 533 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covCos.m, 1642 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covDiscrete.m, 2444 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covDot.m, 4125 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covEye.m, 1506 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covFBM.m, 2480 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covGabor.m, 2950 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covGaborard.m, 862 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covGaboriso.m, 747 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covGE.m, 1186 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covLIN.m, 878 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covLINard.m, 718 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covLINiso.m, 592 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covLINone.m, 1478 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covMaha.m, 8278 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covMask.m, 2077 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covMatern.m, 3060 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covMaternard.m, 992 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covMaterniso.m, 843 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covNNone.m, 2181 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covNoise.m, 808 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covOne.m, 1112 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covOU.m, 3690 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPER.m, 2825 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPERard.m, 707 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPeriodic.m, 1834 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPeriodicNoDC.m, 4121 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPERiso.m, 653 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPoly.m, 1728 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPP.m, 1920 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPPard.m, 940 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPPiso.m, 800 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covPref.m, 2069 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covProd.m, 3136 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covRQ.m, 1181 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covRQard.m, 1319 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covRQiso.m, 1165 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covScale.m, 3216 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covSE.m, 1056 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covSEard.m, 801 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covSEiso.m, 704 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covSEisoU.m, 685 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covSEproj.m, 674 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covSEvlen.m, 1229 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covSM.m, 6966 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covSum.m, 2619 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covULL.m, 2120 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covW.m, 4131 , 2017-11-28
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covWarp.m, 1988 , 2017-11-28
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\cov\covZero.m, 1116 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\covFunctions.m, 7962 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\changelog, 257 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\checkmark.png, 198 , 2010-07-23
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\demoClassification.m, 4640 , 2017-11-27
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\demoGrid1d.m, 2968 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\demoGrid2d.m, 4208 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\demoMinimize.m, 910 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\demoRegression.m, 5188 , 2017-11-27
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\demoSparse.m, 3275 , 2016-10-18
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\demoState.m, 3125 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f0.gif, 26996 , 2016-10-19
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f1.gif, 4990 , 2013-01-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f2.gif, 15082 , 2013-01-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f3.gif, 13866 , 2013-01-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f4.gif, 13141 , 2013-01-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f5.gif, 19258 , 2013-01-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f6.gif, 28470 , 2013-01-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f7.gif, 31055 , 2013-01-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f8.gif, 14698 , 2013-01-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\f9.png, 159343 , 2016-10-28
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\gpml_randn.m, 1109 , 2010-07-23
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\index.html, 65841 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\manual.pdf, 529383 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\README, 21748 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\style.css, 77 , 2010-07-23
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\usageClassification.m, 2660 , 2013-10-16
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\usageCov.m, 3570 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\usageLik.m, 2530 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\usageMean.m, 2264 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\usagePrior.m, 3472 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\usageRegression.m, 2744 , 2016-10-11
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\doc\usageSampling.m, 2636 , 2013-01-17
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\gp.m, 10560 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\inf\infEP.m, 17986 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\inf\infGaussLik.m, 1838 , 2018-08-22
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\inf\infGrid.m, 10434 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\inf\infKL.m, 5936 , 2018-06-15
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\inf\infLaplace.m, 5464 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\inf\infLOO.m, 4085 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\inf\infMCMC.m, 11425 , 2016-08-25
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\inf\infPrior.m, 6113 , 2017-11-26
matlab-gpml\gpml-matlab-v4.2-2018-06-11\gpml-matlab-v4.2-2018-06-11\inf\infState.m, 4521 , 2018-06-15

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • nsct_toolbox
    NSCT非下采样Contourlet变换,实现对图像的多尺度多方向分解,是一种真正的二维图像表示方法(NSCT nonsubsampled Contourlet transform, to achieve multi-scale multi-orientation image decomposition, is a true two-dimensional image representation)
    2010-12-03 10:29:02下载
    积分:1
  • final
    it is fcm kidney segmentation
    2009-06-22 22:55:19下载
    积分:1
  • matlabtoVCPP
    matlab 到VC++的一些串口及其转换文件的说明,可以实现两者之间的混合编程(matlab to the VC++ serial port and convert some documents that can be achieved between the two hybrid programming)
    2011-04-28 23:48:17下载
    积分:1
  • ex6
    使用MATLAB函数反正(15,11)RS码通过二进制对称信道的性能(Use the MATLAB function anyway (15, 11) RS code performance through binary symmetric channel)
    2015-02-28 15:39:57下载
    积分:1
  • 菲涅尔迭代计算
    说明:  MATLAB 程序菲涅尔迭代计算啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊(Fresnel Iterator of MATLAB Program)
    2019-02-15 18:19:10下载
    积分:1
  • gp
    说明:  用matlab实现的高斯随机场,在图像处理中非常实用,效率 很高(Implemented with the matlab Gaussian random, very useful in image processing, efficient)
    2011-01-07 11:59:04下载
    积分:1
  • Threelevel_svpwm
    用matlab做的三电平SVPWM逆变器的仿真,能够实现svpwm的基本功能,但是还不完善。(Using matlab to do a three-level SVPWM inverter simulation, svpwm to achieve the basic functions, but not perfect.)
    2013-07-23 14:04:08下载
    积分:1
  • NGLG
    new method to contrast enhancement
    2011-07-21 17:42:38下载
    积分:1
  • daona
    用matlab求电力系统导纳矩阵,可用于计算短路电流或潮流计算(Power system admittance matrix using matlab and can be used to calculate the short-circuit current or power flow calculation)
    2012-08-15 15:30:00下载
    积分:1
  • Untitled.m
    说明:  空间变异函数,可用于土壤中有机质速效磷等的计算(Realization of two-dimensional variation function calculation)
    2020-03-19 12:05:49下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载