噪声方差matlab代码-adaptivegp:Matlab的完全非平稳、异方差GP

上传者: 38557068 | 上传时间: 2026-03-19 14:03:07 | 文件大小: 60KB | 文件类型: ZIP
噪声方差matlab代码自适应GP Matlab 的完全非平稳、异方差高斯过程的实现。 平方指数核的三个关键组成部分——信号方差、长度尺度和噪声方差——都被建模为具有单独 GP 先验的函数。 梯度下降和后验的 HMC 采样支持 MAP 和完全后验解决方案。 目前只支持单变量数据。 简单示例(有关更多信息,请参阅 /demos) addpath code addpath data load datasets x = Dl.x; y = Dl.y; gp = nsgp(x, y, 'lso', 'grad'); plotnsgp(gp,true);

文件下载

资源详情

[{"title":"( 39 个子文件 60KB ) 噪声方差matlab代码-adaptivegp:Matlab的完全非平稳、异方差GP","children":[{"title":"adaptivegp-master","children":[{"title":"code","children":[{"title":"plotgp.m <span style='color:#111;'> 931B </span>","children":null,"spread":false},{"title":"computegrads.m <span style='color:#111;'> 998B </span>","children":null,"spread":false},{"title":"deriv_mus.m <span style='color:#111;'> 517B </span>","children":null,"spread":false},{"title":"denormalise.m <span style='color:#111;'> 782B </span>","children":null,"spread":false},{"title":"computenmse.m <span style='color:#111;'> 113B </span>","children":null,"spread":false},{"title":"deriv_omega.m <span style='color:#111;'> 730B </span>","children":null,"spread":false},{"title":"logmvnpdf.m <span style='color:#111;'> 535B </span>","children":null,"spread":false},{"title":"nsgpposterior.m <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"nsgausskernelderiv2.m <span style='color:#111;'> 331B </span>","children":null,"spread":false},{"title":"nsgpnuts.m <span style='color:#111;'> 1.62KB </span>","children":null,"spread":false},{"title":"nuts.m <span style='color:#111;'> 6.50KB </span>","children":null,"spread":false},{"title":"testerrors.m <span style='color:#111;'> 848B </span>","children":null,"spread":false},{"title":"nuts_da.m <span style='color:#111;'> 9.28KB </span>","children":null,"spread":false},{"title":"gpposterior.m <span style='color:#111;'> 321B </span>","children":null,"spread":false},{"title":"plotnsgpsamples.m <span style='color:#111;'> 5.96KB </span>","children":null,"spread":false},{"title":"deriv_ell.m <span style='color:#111;'> 2.23KB </span>","children":null,"spread":false},{"title":"computenlpd.m <span style='color:#111;'> 207B </span>","children":null,"spread":false},{"title":"gausskernel.m <span style='color:#111;'> 401B </span>","children":null,"spread":false},{"title":"makesample.m <span style='color:#111;'> 655B </span>","children":null,"spread":false},{"title":"gpmll.m <span style='color:#111;'> 146B </span>","children":null,"spread":false},{"title":"nsgpgrad.m <span style='color:#111;'> 3.89KB </span>","children":null,"spread":false},{"title":"plotnsgp.m <span style='color:#111;'> 4.37KB </span>","children":null,"spread":false},{"title":"nsgausskernelderiv.m <span style='color:#111;'> 353B </span>","children":null,"spread":false},{"title":"nsgpmll.m <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"gradient.m <span style='color:#111;'> 2.42KB </span>","children":null,"spread":false},{"title":"deriv_alphas.m <span style='color:#111;'> 652B </span>","children":null,"spread":false},{"title":"parsesample.m <span style='color:#111;'> 957B </span>","children":null,"spread":false},{"title":"nsgausskernel.m <span style='color:#111;'> 437B </span>","children":null,"spread":false},{"title":"gpmodel.m <span style='color:#111;'> 2.77KB </span>","children":null,"spread":false},{"title":"deriv_betas.m <span style='color:#111;'> 766B </span>","children":null,"spread":false},{"title":"computemse.m <span style='color:#111;'> 76B </span>","children":null,"spread":false},{"title":"nsgp.m <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"plotnsgp2d.m <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"deriv_sigma.m <span style='color:#111;'> 708B </span>","children":null,"spread":false}],"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"readme.md <span style='color:#111;'> 578B </span>","children":null,"spread":false},{"title":"demos","children":[{"title":"demo_oslgp.m <span style='color:#111;'> 284B </span>","children":null,"spread":false},{"title":"demo_lgp.m <span style='color:#111;'> 442B </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"datasets.mat <span style='color:#111;'> 31.06KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明