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/331336/12832558
m bay_rr.m
function [A,B,C,D,E,F,G] = bay_rr(X,Y,gam,level,nb,eigvals,eigvec)
% Bayesian inference of the cost on the three levels of linear ridge regression
%
% >> cost = bay_rr(X, Y, gam, level)
%
% This fun
www.eeworm.com/read/324303/13273785
m bay_rr.m
function [A,B,C,D,E,F,G] = bay_rr(X,Y,gam,level,nb,eigvals,eigvec)
% Bayesian inference of the cost on the three levels of linear ridge regression
%
% >> cost = bay_rr(X, Y, gam, level)
%
% This fun
www.eeworm.com/read/318947/13465996
m bay_rr.m
function [A,B,C,D,E,F,G] = bay_rr(X,Y,gam,level,nb,eigvals,eigvec)
% Bayesian inference of the cost on the three levels of linear ridge regression
%
% >> cost = bay_rr(X, Y, gam, level)
%
% This fun
www.eeworm.com/read/316944/13514029
m bay_rr.m
function [A,B,C,D,E,F,G] = bay_rr(X,Y,gam,level,nb,eigvals,eigvec)
% Bayesian inference of the cost on the three levels of linear ridge regression
%
% >> cost = bay_rr(X, Y, gam, level)
%
% This fun
www.eeworm.com/read/303623/13810955
nex cynmix.nex
#NEXUS
[This is an example of a mixed data set]
[Data from Nylander, J., F. Ronquist, J. P. Huelsenbeck and J. L. Nieves-Aldrey. 2004. Bayesian phylogenetic analysis of combined data. Systematic
www.eeworm.com/read/140847/5779331
m update_params_complete.m
function CPD = update_params_complete(CPD, self_ev, pev)
% UPDATE_PARAMS_COMPLETE Bayesian parameter updating given completely observed data (root_gaussian)
% CPD = update_params_complete(CPD, self_ev
www.eeworm.com/read/133943/5897514
m update_params_complete.m
function CPD = update_params_complete(CPD, self_ev, pev)
% UPDATE_PARAMS_COMPLETE Bayesian parameter updating given completely observed data (root_gaussian)
% CPD = update_params_complete(CPD, self_ev
www.eeworm.com/read/260557/11719036
h nbc.h
#ifndef NBC_TABLE_H
#define NBC_TABLE_H
#include "dataTab.h"
#include "rawDataTable.h"
#include "classInfo.h"
#include "attributeInfo.h"
// Naive Bayesian Classifier
// the class NBC_Table consist
www.eeworm.com/read/150749/12267375
m bay_rr.m
function [A,B,C,D,E,F,G] = bay_rr(X,Y,gam,level,nb,eigvals,eigvec)
% Bayesian inference of the cost on the three levels of linear ridge regression
%
% >> cost = bay_rr(X, Y, gam, level)
%
% This fun
www.eeworm.com/read/249982/12443606
m update_params_complete.m
function CPD = update_params_complete(CPD, self_ev, pev)
% UPDATE_PARAMS_COMPLETE Bayesian parameter updating given completely observed data (root_gaussian)
% CPD = update_params_complete(CPD, self_ev