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高斯过程在回归和分类问题中的应用,注释详细,Gaussian process regression and classification problems in the application, comments, details
相关搜索: gpml
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下载文件列表
gpml/doc/alg21.gif
gpml/doc/alg31.gif
gpml/doc/alg32.gif
gpml/doc/alg35.gif
gpml/doc/alg36.gif
gpml/doc/alg51.gif
gpml/doc/alg52.gif
gpml/doc/classification.html
gpml/doc/fig2d.gif
gpml/doc/fig2de1.gif
gpml/doc/fig2de2.gif
gpml/doc/fig2de3.gif
gpml/doc/fig2dl1.gif
gpml/doc/fig2dl2.gif
gpml/doc/fig2dl3.gif
gpml/doc/figepp.gif
gpml/doc/figepp2.gif
gpml/doc/figl.gif
gpml/doc/figl1.gif
gpml/doc/figlapp.gif
gpml/doc/figlapp2.gif
gpml/doc/figlf.gif
gpml/doc/figlm.gif
gpml/doc/index.html
gpml/doc/regression.html
gpml/doc/sparse-approx.html
gpml/doc/style.css
gpml/gpml/approxEP.m
gpml/gpml/approximations.m
gpml/gpml/approxLA.m
gpml/gpml/binaryEPGP.m
gpml/gpml/binaryGP.m
gpml/gpml/binaryLaplaceGP.m
gpml/gpml/Contents.m
gpml/gpml/Copyright
gpml/gpml/covConst.m
gpml/gpml/covFunctions.m
gpml/gpml/covLINard.m
gpml/gpml/covLINone.m
gpml/gpml/covMatern3iso.m
gpml/gpml/covMatern5iso.m
gpml/gpml/covNNone.m
gpml/gpml/covNoise.m
gpml/gpml/covPeriodic.m
gpml/gpml/covProd.m
gpml/gpml/covRQard.m
gpml/gpml/covRQiso.m
gpml/gpml/covSEard.m
gpml/gpml/covSEiso.m
gpml/gpml/covSum.m
gpml/gpml/cumGauss.m
gpml/gpml/gauher.m
gpml/gpml/gpr.m
gpml/gpml/gprSRPP.m
gpml/gpml/likelihoods.m
gpml/gpml/logistic.m
gpml/gpml/Makefile
gpml/gpml/minimize.m
gpml/gpml/solve_chol.c
gpml/gpml/solve_chol.m
gpml/gpml/sq_dist.c
gpml/gpml/sq_dist.m
gpml/gpml-demo/Contents.m
gpml/gpml-demo/data_6darm.mat
gpml/gpml-demo/data_boston.mat
gpml/gpml-demo/demo_ep_2d.m
gpml/gpml-demo/demo_ep_usps.m
gpml/gpml-demo/demo_gparm.m
gpml/gpml-demo/demo_gpr.m
gpml/gpml-demo/demo_gprsparse.m
gpml/gpml-demo/demo_laplace_2d.m
gpml/gpml-demo/demo_laplace_usps.m
gpml/README
gpml/doc
gpml/gpml
gpml/gpml-demo
gpml
gpml/doc/alg31.gif
gpml/doc/alg32.gif
gpml/doc/alg35.gif
gpml/doc/alg36.gif
gpml/doc/alg51.gif
gpml/doc/alg52.gif
gpml/doc/classification.html
gpml/doc/fig2d.gif
gpml/doc/fig2de1.gif
gpml/doc/fig2de2.gif
gpml/doc/fig2de3.gif
gpml/doc/fig2dl1.gif
gpml/doc/fig2dl2.gif
gpml/doc/fig2dl3.gif
gpml/doc/figepp.gif
gpml/doc/figepp2.gif
gpml/doc/figl.gif
gpml/doc/figl1.gif
gpml/doc/figlapp.gif
gpml/doc/figlapp2.gif
gpml/doc/figlf.gif
gpml/doc/figlm.gif
gpml/doc/index.html
gpml/doc/regression.html
gpml/doc/sparse-approx.html
gpml/doc/style.css
gpml/gpml/approxEP.m
gpml/gpml/approximations.m
gpml/gpml/approxLA.m
gpml/gpml/binaryEPGP.m
gpml/gpml/binaryGP.m
gpml/gpml/binaryLaplaceGP.m
gpml/gpml/Contents.m
gpml/gpml/Copyright
gpml/gpml/covConst.m
gpml/gpml/covFunctions.m
gpml/gpml/covLINard.m
gpml/gpml/covLINone.m
gpml/gpml/covMatern3iso.m
gpml/gpml/covMatern5iso.m
gpml/gpml/covNNone.m
gpml/gpml/covNoise.m
gpml/gpml/covPeriodic.m
gpml/gpml/covProd.m
gpml/gpml/covRQard.m
gpml/gpml/covRQiso.m
gpml/gpml/covSEard.m
gpml/gpml/covSEiso.m
gpml/gpml/covSum.m
gpml/gpml/cumGauss.m
gpml/gpml/gauher.m
gpml/gpml/gpr.m
gpml/gpml/gprSRPP.m
gpml/gpml/likelihoods.m
gpml/gpml/logistic.m
gpml/gpml/Makefile
gpml/gpml/minimize.m
gpml/gpml/solve_chol.c
gpml/gpml/solve_chol.m
gpml/gpml/sq_dist.c
gpml/gpml/sq_dist.m
gpml/gpml-demo/Contents.m
gpml/gpml-demo/data_6darm.mat
gpml/gpml-demo/data_boston.mat
gpml/gpml-demo/demo_ep_2d.m
gpml/gpml-demo/demo_ep_usps.m
gpml/gpml-demo/demo_gparm.m
gpml/gpml-demo/demo_gpr.m
gpml/gpml-demo/demo_gprsparse.m
gpml/gpml-demo/demo_laplace_2d.m
gpml/gpml-demo/demo_laplace_usps.m
gpml/README
gpml/doc
gpml/gpml
gpml/gpml-demo
gpml
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