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/487213/6516838
m impresample.m
function [x, w] = impResample(xpar, wpar)%the resample code is derived from article named 3.3discussion
cumw = cumsum(wpar);
N =
www.eeworm.com/read/487213/6516851
m impresample.m
function [x, w] = impResample(xpar, wpar)%the resample code is derived from article named 3.3discussion
cumw = cumsum(wpar);
N =
www.eeworm.com/read/487218/6516878
m impresample.m
function [x, w] = impResample(xpar, wpar)%the resample code is derived from article named 3.3discussion
cumw = cumsum(wpar);
N =
www.eeworm.com/read/487218/6516896
asv impresample.asv
function [x, w] = impResample(xpar, wpar)%the resample code is derived from article named 3.3discussion
cumw = cumsum(wpar);
K =
www.eeworm.com/read/485544/6552737
m fevbayes.m
function [extra, invhess] = fevbayes(net, y, a, x, t, x_test, invhess)
%FEVBAYES Evaluate Bayesian regularisation for network forward propagation.
%
% Description
% EXTRA = FEVBAYES(NET, Y, A, X, T, X
www.eeworm.com/read/253950/12173597
m fevbayes.m
function [extra, invhess] = fevbayes(net, y, a, x, t, x_test, invhess)
%FEVBAYES Evaluate Bayesian regularisation for network forward propagation.
%
% Description
% EXTRA = FEVBAYES(NET, Y, A, X, T, X
www.eeworm.com/read/339665/12211596
m fevbayes.m
function [extra, invhess] = fevbayes(net, y, a, x, t, x_test, invhess)
%FEVBAYES Evaluate Bayesian regularisation for network forward propagation.
%
% Description
% EXTRA = FEVBAYES(NET, Y, A, X, T, X