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/176823/9483136
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/425546/10348960
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/425546/10349009
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/161855/10360896
readme
DBACL - digramic Bayesian classifier
PURPOSE
dbacl is a command line program which can be used to categorize
several types of text documents. Each document category is
constructed as a maximum ent
www.eeworm.com/read/469416/6976330
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/469416/6976363
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/449504/7502090
m recm.m
function results = recm(y,nlag,w,freq,sig,tau,theta,r)
% PURPOSE: performs Bayesian error correction model estimation
% using Random-walk averaging prior
%------------------------------------
www.eeworm.com/read/196932/8040072
m bcmfwd.m
function [Ypred, Yvar] = bcmfwd(net,Xtest,querySize,verbosity)
% bcmfwd - Forward propagation in Bayesian Committee Machine
%
% Synopsis:
% Ypred = bcmfwd(net,Xtest)
% [Ypred,Yvar] = bcmfwd(net,Xt
www.eeworm.com/read/143706/12849489
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/143706/12849591
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu