文件名称:Gaussian-process-regression
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2016-01-23
- 文件大小:
- 833kb
- 下载次数:
- 1次
- 提 供 者:
- 王*
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
高斯过程回归及分类的代码,内容全,有实例,注释清晰。包括分类系列和预测回归系列,值得感兴趣的同学学习借鉴。-Gaussian process regression and classification code, content, there are instances, comments clear.Including classification and forecasting return series, is worthy of reference for anyone interested in learning.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
gpml\doc\alg21.gif
....\...\alg31.gif
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....\...\alg35.gif
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....\...\alg51.gif
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....\...\classification.html
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....\...\figl.gif
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....\...\figlapp.gif
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....\...\figlf.gif
....\...\figlm.gif
....\...\index.html
....\...\regression.html
....\...\sparse-approx.html
....\...\style.css
....\gpml\approxEP.m
....\....\approximations.m
....\....\approxLA.m
....\....\binaryEPGP.m
....\....\binaryGP.m
....\....\binaryLaplaceGP.m
....\....\Contents.m
....\....\Copyright
....\....\covConst.m
....\....\covFunctions.m
....\....\covLINard.m
....\....\covLINone.m
....\....\covMatern3iso.m
....\....\covMatern5iso.m
....\....\covNNone.m
....\....\covNoise.m
....\....\covPeriodic.m
....\....\covProd.m
....\....\covRQard.m
....\....\covRQiso.m
....\....\covSEard.m
....\....\covSEiso.m
....\....\covSum.m
....\....\cumGauss.m
....\....\gauher.m
....\....\gpr.m
....\....\gprSRPP.m
....\....\likelihoods.m
....\....\logistic.m
....\....\Makefile
....\....\minimize.m
....\....\solve_chol.c
....\....\solve_chol.m
....\....\sq_dist.c
....\....\sq_dist.m
....\....-demo\Contents.m
....\.........\data_6darm.mat
....\.........\data_boston.mat
....\.........\demo_ep_2d.m
....\.........\demo_ep_usps.m
....\.........\demo_gparm.m
....\.........\demo_gpr.m
....\.........\demo_gprsparse.m
....\.........\demo_laplace_2d.m
....\.........\demo_laplace_usps.m
....\.........\gparm_fval.fig
....\.........\gparm_res.std.fig
....\.........\gprgai.m
....\README
.aussian\calcGP.m
........\GPtutorial.m
........\GPtutorialFcn.m
........\hypSample.m
........\k_GP.m
........\stdRegion.m
.pml\doc
....\gpml
....\gpml-demo
gpml
gaussian