代码搜索：Bayesian

找到约 1,632 项符合「Bayesian」的源代码

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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/251529/12339339

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/251529/12339362

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/251529/12339393

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/130491/14189926

1 bayesol.1

\" t .TH BAYESOL 1 "Bayesian Classification Tools" "Version 1.3" "" .SH NAME bayesol \- a Bayes solution calculator for use with dbacl. .SH SYNOPSIS .HP .B bayesol [-DVniv] -c .I riskspec [FILE]... .
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www.eeworm.com/read/220289/14843826

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/212307/15160134

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/344585/3207745

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/396844/2406678

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/396844/2407130

m bayes_update_params.m

function bnet = bayes_update_params(bnet, cases, clamped) % BAYES_UPDATE_PARAMS Bayesian parameter updating given completely observed data % bnet = bayes_update_params(bnet, cases, clamped) % % If the
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