登录
首页 » matlab » matlab-gpml

matlab-gpml

于 2021-03-16 发布
0 202
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

  • class_optical_flow
    一个经典的关于光流法的运动图像目标检测 已调试成功(Moving image target detection of optical flow method is a classic has been successful commissioning)
    2013-11-16 10:02:55下载
    积分:1
  • OLIVETTI-FAX-LAB-115-user-guide
    OLIVETTI FAX-LAB 115 user guide
    2015-03-31 00:25:03下载
    积分:1
  • wirelesssimulation
    采用matlab对无线信道进行仿真的源程序。(matlab source for wireless simulation)
    2009-05-13 23:51:52下载
    积分:1
  • CA
    说明:  this is a set power points about Computer_Architecture
    2013-02-11 14:06:35下载
    积分:1
  • BasedOnMarginalizedPaticleFilteringSatelliteAttitu
    基于Marginalized粒子滤波的卫星姿态估计算法。介绍了一种基于粒子滤波的全新的卫星姿态确定的算法,非常有借鉴意义(Marginalized particle filter based on the satellite attitude estimation algorithm. This paper presents a particle filter based on new satellite attitude determination algorithms, very referential significance)
    2007-12-18 23:28:04下载
    积分:1
  • viter_qpsk
    含有QPSK调制的matlab卷积编码、维特比译码程序(source for convolutional encoding and viterbi decoding which contained QPSK )
    2012-04-27 16:05:02下载
    积分:1
  • compressive-particle-filtering
    国外网站下载压综感知粒子滤波跟踪源代码,用于学习压缩感知目标跟踪(Fully aware download foreign websites particle filter tracking pressure source code for learning compressed sensing target tracking)
    2014-09-19 20:43:34下载
    积分:1
  • Erlang
    根据Erlang B公式进行程序设计: (1)输入:话务量、信道数;输出:PC (2)输入:PC、信道数;输出:最大话务量 根据Erlang C公式进行程序设计: (1)输入:话务量、信道数;输出:PW[延迟>0] (2)输入:PW[延迟>0]、信道数;输出:最大话务量 (According to Erlang B formula for program design: (1) Input: traffic, number of channels output: PC (2) input: PC, number of channels output: maximum traffic based on Erlang C formula for program design: (1) Input: traffic, number of channels output: PW [Delay> 0] (2) Input: PW [Delay> 0], the number of channels output: maximum traffic)
    2021-04-14 15:28:55下载
    积分:1
  • MATLAB-toolbox
    matlab软件下用于航空航天工作的工具箱,内含多种必备函数(matlab software for aerospace toolbox, containing a variety of essential functions)
    2012-10-09 23:31:38下载
    积分:1
  • complexwavelet
    MATLAB BASED COMPLEXT WAVELET CODE
    2013-05-04 19:26:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载