代码搜索：Inference
找到约 1,820 项符合「Inference」的源代码
代码结果 1,820
www.eeworm.com/read/393163/2487978
m hhmm_inference.m
bnet = mk_square_hhmm(1, 1);
engine = {};
engine{end+1} = hmm_inf_engine(bnet);
engine{end+1} = smoother_engine(jtree_2TBN_inf_engine(bnet));
exact = 1:length(engine);
filter = 0;
single = 0;
maximi
www.eeworm.com/read/386597/2570153
m grammatical_inference.m
function [A,I,S,P] = Grammatical_Inference(x, labels)
% Bottom-Up Parsing
%
% Inputs:
% x - Text vectors to parse
% labels - Labels for the text vectors {-1, 1}
%
% Output:
www.eeworm.com/read/160391/5571219
m cmp_inference.m
function [err, time, engine] = cmp_inference(bnet, engine, exact, T, filter, singletons, maximize)
% CMP_INFERENCE Compare several inference engines on a DBN
% [err, time, engine] = cmp_inference(bn
www.eeworm.com/read/160391/5571278
m hhmm_inference.m
bnet = mk_square_hhmm(1, 1);
engine = {};
engine{end+1} = hmm_inf_engine(bnet);
engine{end+1} = smoother_engine(jtree_2TBN_inf_engine(bnet));
exact = 1:length(engine);
filter = 0;
single = 0
www.eeworm.com/read/474600/6813474
m grammatical_inference.m
function [A,I,S,P] = Grammatical_Inference(x, labels)
% Bottom-Up Parsing
%
% Inputs:
% x - Text vectors to parse
% labels - Labels for the text vectors {-1, 1}
%
% Output:
www.eeworm.com/read/359187/6841961
m grammatical_inference.m
function [A,I,S,P] = Grammatical_Inference(x, labels)
% Bottom-Up Parsing
%
% Inputs:
% x - Text vectors to parse
% labels - Labels for the text vectors {-1, 1}
%
% Output:
www.eeworm.com/read/415311/11077115
m grammatical_inference.m
function [A,I,S,P] = Grammatical_Inference(x, labels)
% Bottom-Up Parsing
%
% Inputs:
% x - Text vectors to parse
% labels - Labels for the text vectors {-1, 1}
%
% Output:
www.eeworm.com/read/266839/11210779
m inference_old.m
function stear =inference(xpos,phi)
for i=1:35
[r y(i)]=fire_rule(i,xpos,phi);
for j=1:10
stear(i,j)=r(j)*y(i);
end
end
stear=sum(stear);
stear=st
www.eeworm.com/read/283528/9012188
pdf principles of statistical inference.pdf
www.eeworm.com/read/362337/10003446
m lda_variational_inference.m
function [model, gammas, E,F] = LDA_variational_inference( counts, T, options);
%
% [model, gammas, E] = LDA_variational_inference( counts, T,options);
%
% counts (W x D) : matrix with in each co