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/197905/5091305
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/346158/3189891
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/292984/3936132
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/292964/3937280
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/434858/1868185
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/396844/2407034
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/393163/2488227
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/140847/5779192
m mhmm1.m
% Make an HMM with mixture of Gaussian observations
% Q1 ---> Q2
% / | / |
% M1 | M2 |
% \ v \ v
% Y1 Y2
% where Pr(m=j|q=i) is a multinomial and Pr(y|m,q) is a Gaussian
www.eeworm.com/read/133943/5897376
m mhmm1.m
% Make an HMM with mixture of Gaussian observations
% Q1 ---> Q2
% / | / |
% M1 | M2 |
% \ v \ v
% Y1 Y2
% where Pr(m=j|q=i) is a multinomial and Pr(y|m,q) is a Gaussian
www.eeworm.com/read/251838/4414587
m mhmm1.m
% Make an HMM with mixture of Gaussian observations
% Q1 ---> Q2
% / | / |
% M1 | M2 |
% \ v \ v
% Y1 Y2
% where Pr(m=j|q=i) is a multinomial and Pr(y|m,q) is a Gaussian