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/428849/8833337
m~ bayesdf.m~
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter
www.eeworm.com/read/428849/8833344
m bayesdf.m
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter
www.eeworm.com/read/179898/9331861
h bayes.h
/*--------------------------------------------------------------------------
@COPYRIGHT :
Copyright 1997, Vasken Kollokian,
McConnell Brain Imaging Centre,
www.eeworm.com/read/362246/10009277
m~ bayesdf.m~
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter
www.eeworm.com/read/362246/10009280
m bayesdf.m
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter
www.eeworm.com/read/280595/10310563
m bayesdf.m
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter
www.eeworm.com/read/449504/7502864
m contents.m
% matrix exponential model estimation functions
%
% mess : maximum likelihood MESS estimates
% mess_d : An example of using mess() on a small dataset
% mess_d2 : An e
www.eeworm.com/read/299459/7849030
m bayesdf.m
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter
www.eeworm.com/read/312163/13616988
m~ bayesdf.m~
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter
www.eeworm.com/read/312163/13616991
m bayesdf.m
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter