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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cpp sirflt.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++/BayesFi
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www.eeworm.com/read/174377/9590105

hpp ublasmatrix.hpp

/* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms and conditions of use. * * $Header: /cvsroot/bayesclasses/Bayes++/BayesFi
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www.eeworm.com/read/174377/9590108

cpp ciflt.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++/BayesFi
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www.eeworm.com/read/174377/9590114

cpp udflt.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++/BayesFi
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www.eeworm.com/read/174377/9590121

cpp bayesfltalg.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++/BayesFi
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www.eeworm.com/read/172172/9722035

m bay_optimize.m

function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay) % Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference % %
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www.eeworm.com/read/367440/9748398

m bay_optimize.m

function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay) % Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference % %
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www.eeworm.com/read/170936/9779181

m errbayes.m

function [e, edata, eprior] = errbayes(net, edata) %ERRBAYES Evaluate Bayesian error function for network. % % Description % E = ERRBAYES(NET, EDATA) takes a network data structure NET together % the
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www.eeworm.com/read/415313/11076413

m errbayes.m

function [e, edata, eprior] = errbayes(net, edata) %ERRBAYES Evaluate Bayesian error function for network. % % Description % E = ERRBAYES(NET, EDATA) takes a network data structure NET together % the
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www.eeworm.com/read/413912/11137133

m errbayes.m

function [e, edata, eprior] = errbayes(net, edata) %ERRBAYES Evaluate Bayesian error function for network. % % Description % E = ERRBAYES(NET, EDATA) takes a network data structure NET together % the
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