代码搜索：Generalized
找到约 2,645 项符合「Generalized」的源代码
代码结果 2,645
www.eeworm.com/read/428849/8834598
m pandr.m
function varargout = pandr(model,distrib)
% PANDR Visualizes solution of the Generalized Anderson's task.
%
% Synopsis:
% h = pandr(model)
%
% Description:
% It vizualizes solution of the Gen
www.eeworm.com/read/177674/9442550
m glminit.m
function net = glminit(net, prior)
%GLMINIT Initialise the weights in a generalized linear model.
%
% Description
%
% NET = GLMINIT(NET, PRIOR) takes a generalized linear model NET and
% sets the weig
www.eeworm.com/read/177674/9442697
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/373012/9478874
todo
$Id: TODO,v 1.4 2006/03/16 01:18:00 geuzaine Exp $
*******************************************************************
Move the optional code (Arpack, Sparksit?, NR) into new contrib/
directory
***
www.eeworm.com/read/176823/9483234
m glminit.m
function net = glminit(net, prior)
%GLMINIT Initialise the weights in a generalized linear model.
%
% Description
%
% NET = GLMINIT(NET, PRIOR) takes a generalized linear model NET and
% sets the weig
www.eeworm.com/read/176823/9483379
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/362246/10010048
m pandr.m
function varargout = pandr(model,distrib)
% PANDR Visualizes solution of the Generalized Anderson's task.
%
% Synopsis:
% h = pandr(model)
%
% Description:
% It vizualizes solution of the Gen
www.eeworm.com/read/361768/10036576
m gedrnd.m
function random = gedrnd(n,nu)
% PURPOSE:
% Generates Deviates from the Generalized Error Distribution
% This is the same as the Exponential Power Distn with the single exception
%
%
www.eeworm.com/read/280595/10311722
m pandr.m
function varargout = pandr(model,distrib)
% PANDR Visualizes solution of the Generalized Anderson's task.
%
% Synopsis:
% h = pandr(model)
%
% Description:
% It vizualizes solution of the Gen
www.eeworm.com/read/425546/10349117
m glminit.m
function net = glminit(net, prior)
%GLMINIT Initialise the weights in a generalized linear model.
%
% Description
%
% NET = GLMINIT(NET, PRIOR) takes a generalized linear model NET and
% sets th