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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www.eeworm.com/read/302157/13840933

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/302157/13840935

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/485544/6552618

m contents.m

% ReBEL : Recursive Bayesian Estimation Library - Toolkit % Version 0.1 % % ---EXAMPLES--- % % State Estimation % state_estimation/demse1 - Simple linear time series estimation demo % stat
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www.eeworm.com/read/485544/6552669

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/253950/12173380

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/339665/12211299

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/150905/12249935

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/150749/12267293

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/251529/12339406

v2 jamfile.v2

# Bayes++ Jamfile - See Boost.build v2 # BayesFilter - The Bayesian filtering library # Propagated usage requirements project BayesFilter : usage-requirements ".." # Library he
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www.eeworm.com/read/119681/14824432

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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