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/449504/7502501
m indtest.m
function [g2, bic] = indtest(d,n)
% PURPOSE: function called by raftery.m
% ------------------------------------------------
% SEE ALSO: coda(), prt()
% -----------------------------------------------
www.eeworm.com/read/299459/7849027
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/312163/13616989
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/150760/12264716
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/128468/14295380
m bayeserr.m
function [risk,eps1,eps2,inter1]=bayeserr(p1,m1,m2,c1,c2)
% BAYESERR computes the Bayesian risk for optimal classifier.
% [risk,eps1,eps2,inter1]=bayeserr(p1,m1,m2,c1,c2)
%
% BAYESERR computes a v
www.eeworm.com/read/213492/15133232
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/367442/9747832
m bayeserr.m
function [risk,eps1,eps2,inter1]=bayeserr(p1,m1,m2,c1,c2)
% BAYESERR computes the Bayesian risk for optimal classifier.
% [risk,eps1,eps2,inter1]=bayeserr(p1,m1,m2,c1,c2)
%
% BAYESERR computes a v
www.eeworm.com/read/411674/11232967
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/104454/15692162
txt 说明.txt
这个软件支持Bayesian衰退和分类模形，它基于神经系统网络和Gaussian作用。它也包括一些根本的程序实现有限和无限混合的模型。
www.eeworm.com/read/426801/8998179