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matlab-gpml

于 2021-03-16 发布
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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

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  • simplefractal
    常用的分形图像的生成程序,算法为确定性算法。(interpolation)
    2010-08-24 12:11:19下载
    积分:1
  • Robust-methods
    主要利用稳健方法比如迭代算法来对跳频信号在Alpha稳定分布噪声环境下进行参数估计(Main advantage of robust methods such as iterative algorithm for frequency-hopping signals Alpha stable distribution parameter estimation in noisy environments)
    2020-07-10 17:28:54下载
    积分:1
  • system2
    PID调节器结构简单、参数易于调整,当被控对象精确数学模型难以建立、系统的参数又经常发生变化时,应用PID控制技术,在线整定最为方便。 (PID adjustor simple structure, easy adjustable parameters, when the controlled object mathematical model is hard to build up, the parameters of the system and often changes, application of PID control technology, online setting the most convenient.)
    2010-12-09 00:10:19下载
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  • H
    说明:  本例是一个图像平滑与去噪的程序,对大家的图像预处理知识会有帮助(This example is an image smoothing and denoising procedures, we will help the image pre-knowledge)
    2011-03-02 15:06:53下载
    积分:1
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    说明:  很好用的小波分解程序,简单,对初学者很有帮助。(Nice wavelet decomposition program, for beginners helpful.)
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    等高线绘制 -以换取下载的基金会-赶紧下载啊啊(Contour drawing- in exchange for the foundations of the download- quickly download ah ah)
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    轮轨冲击信号的小波分析matlab程序,程序中H5V20zrail为轮轨冲击信号输入数据。(Wheel-rail impact of wavelet analysis matlab program, the program H5V20zrail impact signal for the wheel-rail input data.)
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    用LBG算法进行矢量量化器的设计,用分裂法获得初始码书(Using vector quantization LBG algorithm design, with split method to obtain the initial codebook)
    2016-10-20 21:35:53下载
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  • PCM
    本程序可以对一个模拟信号进行数字化,使用的是PCM即脉冲编码调制,其结果是将样值转化为8位PCM编码。现今语音编码大多数采用这类编码方法(This procedure can be an analog signal to digital, using pulse code modulation or PCM, and the result is kind of value will be translated into eight PCM coding. Most of the current speech coding to adopt this type of coding method)
    2007-10-05 18:39:14下载
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