代码搜索：bayesian
找到约 1,632 项符合「bayesian」的源代码
代码结果 1,632
www.eeworm.com/read/249982/12443544
m bayesian_score_cpd.m
function score = bayesian_score_CPD(CPD, local_ev)
% bayesian_score_CPD Compute the Bayesian score of a tabular CPD using uniform Dirichlet prior
% score = bayesian_score_CPD(CPD, local_ev)
%
% The Ba
www.eeworm.com/read/131588/14136170
m bayesian_model_comparison.m
function D = Bayesian_Model_Comparison(train_features, train_targets, Ngaussians, region)
% Classify using the Bayesian model comparison algorithm. This function accepts as inputs
% the maximum nu
www.eeworm.com/read/131588/14136307
m bayesian_belief_networks.m
function [decision, P] = Bayesian_Belief_Networks(net, data)
% Find the most likely decision given a Bayesian belief network and data for the decision
%
% Inputs:
% net - A bayesian belief n
www.eeworm.com/read/131588/14136318
m bayesian_parameter_est.m
function [mu, sigma] = Bayesian_parameter_est(train_features, train_targets, sigma, region)
% Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm
% Inputs:
%
www.eeworm.com/read/129915/14217614
m bayesian_model_comparison.m
function D = Bayesian_Model_Comparison(train_features, train_targets, Ngaussians, region)
% Classify using the Bayesian model comparison algorithm. This function accepts as inputs
% the maximum nu
www.eeworm.com/read/129915/14217721
m bayesian_belief_networks.m
function [decision, P] = Bayesian_Belief_Networks(net, data)
% Find the most likely decision given a Bayesian belief network and data for the decision
%
% Inputs:
% net - A bayesian belief n
www.eeworm.com/read/129915/14217730
m bayesian_parameter_est.m
function [mu, sigma] = Bayesian_parameter_est(train_features, train_targets, sigma, region)
% Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm
% Inputs:
%
www.eeworm.com/read/251838/4414722
m bayesian_score_cpd.m
function score = bayesian_score_CPD(CPD, local_ev)
% bayesian_score_CPD Compute the Bayesian score of a tabular CPD using uniform Dirichlet prior
% score = bayesian_score_CPD(CPD, local_ev)
%
% The Ba
www.eeworm.com/read/251522/4418940
m bayesian_score_cpd.m
function score = bayesian_score_CPD(CPD, local_ev)
% bayesian_score_CPD Compute the Bayesian score of a tabular CPD using uniform Dirichlet prior
% score = bayesian_score_CPD(CPD, local_ev)
%
% The Ba