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/331336/12832631
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/324303/13273863
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/318947/13466018
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/316944/13514056
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/492929/6414214
m ols_g.m
function results = ols_g(y,x,ndraw,nomit,prior,start)
% PURPOSE: MCMC estimates for the Bayesian heteroscedastic linear model
% y = X B + E, E = N(0,sige*V),
% V = diag(v1,v2,...
www.eeworm.com/read/150749/12267407
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/119681/14824487
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/214923/15083022
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/344585/3207933
m bay_lssvm.m
function [A,B,C,D,E] = bay_lssvm(model,level,type, nb, bay)
% Compute the posterior cost for the 3 levels in Bayesian inference
%
% >> cost = bay_lssvm({X,Y,type,gam,sig2}, level, type)
% >> cost = b
www.eeworm.com/read/418631/2087124
java pop3statemachineexception.java
/**
* Title: StandBayeMail
* Description: A bayesian spam filter
* Copyright: Copyright (c) 2004 by Luca M. Viola
* Company: 3AM.it
* @author Luca M. Viola