代码搜索：Multinomial
找到约 224 项符合「Multinomial」的源代码
代码结果 224
www.eeworm.com/read/292984/3935961
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c
www.eeworm.com/read/292964/3937109
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c
www.eeworm.com/read/434858/1868081
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c
www.eeworm.com/read/396844/2406936
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c
www.eeworm.com/read/393163/2488056
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c
www.eeworm.com/read/160391/5571430
m softmax_cpd.m
function CPD = softmax_CPD(bnet, self, varargin)
% SOFTMAX_CPD Make a softmax (multinomial logit) CPD
%
% To define this CPD precisely, let W be an (m x n) matrix with W(i,:) = {i-th row of B}
%
www.eeworm.com/read/140847/5779384
m softmax_cpd.m
function CPD = softmax_CPD(bnet, self, varargin)
% SOFTMAX_CPD Make a softmax (multinomial logit) CPD
%
% To define this CPD precisely, let W be an (m x n) matrix with W(i,:) = {i-th row of B}
% => w
www.eeworm.com/read/133943/5897567
m softmax_cpd.m
function CPD = softmax_CPD(bnet, self, varargin)
% SOFTMAX_CPD Make a softmax (multinomial logit) CPD
%
% To define this CPD precisely, let W be an (m x n) matrix with W(i,:) = {i-th row of B}
% => w
www.eeworm.com/read/251838/4414898
m softmax_cpd.m
function CPD = softmax_CPD(bnet, self, varargin)
% SOFTMAX_CPD Make a softmax (multinomial logit) CPD
%
% To define this CPD precisely, let W be an (m x n) matrix with W(i,:) = {i-th row of B}
% => w
www.eeworm.com/read/215485/4903859
m softmax_cpd.m
function CPD = softmax_CPD(bnet, self, varargin)
% SOFTMAX_CPD Make a softmax (multinomial logit) CPD
%
% To define this CPD precisely, let W be an (m x n) matrix with W(i,:) = {i-th row of B}
% => w