代码搜索：Bayesian

找到约 1,632 项符合「Bayesian」的源代码

代码结果 1,632
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m mess_g3d2.m

% PURPOSE: An example of using mess_g3() on a large dataset % Bayesian matrix exponential spatial model %--------------------------------------------------- % USAGE: mess_g3d2 (see mess_g3d f
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www.eeworm.com/read/449504/7502946

m bgwr.m

function results = bgwr(y,x,east,north,ndraw,nomit,prior); % PURPOSE: compute Bayesian geographically weighted regression % model: y = Xb(i) + e, e = N(0,sige*V), % b(i)
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www.eeworm.com/read/143706/12849813

m fevbayes.m

function [extra, invhess] = fevbayes(net, y, a, x, t, x_test, invhess) %FEVBAYES Evaluate Bayesian regularisation for network forward propagation. % % Description % EXTRA = FEVBAYES(NET, Y, A, X, T, X
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www.eeworm.com/read/302157/13840883

cpp pv.cpp

/* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms and conditions of use. * * $Header: /cvsroot/bayesclasses/Bayes++/PV/PV.c
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www.eeworm.com/read/302157/13840916

hpp infrtflt.hpp

#ifndef _BAYES_FILTER_INFORMATION_ROOT #define _BAYES_FILTER_INFORMATION_ROOT /* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for te
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www.eeworm.com/read/302157/13840922

hpp matsup.hpp

#ifndef _BAYES_FILTER_MATRIX_SUPPORT #define _BAYES_FILTER_MATRIX_SUPPORT /* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms
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www.eeworm.com/read/302157/13840932

hpp schemeflt.hpp

#ifndef _BAYES_FILTER_SCHEME #define _BAYES_FILTER_SCHEME /* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms and conditions o
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www.eeworm.com/read/487203/6516614

m impresample.m

function [x, w] = impResample(xpar, wpar)%the resample code is derived from article named 3.3discussion cumw = cumsum(wpar); N =
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www.eeworm.com/read/487203/6516634

asv impresample.asv

function [x, w] = impResample(xpar, wpar)%the resample code is derived from article named 3.3discussion cumw = cumsum(wpar); K =
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www.eeworm.com/read/487211/6516772

m impresample.m

function [x, w] = impResample(xpar, wpar)%the resample code is derived from article named 3.3discussion cumw = cumsum(wpar); N =
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