代码搜索：engine
找到约 10,000 项符合「engine」的源代码
代码结果 10,000
www.eeworm.com/read/396844/2407264
m marginal_nodes.m
function marginal = marginal_nodes(engine, query)
% MARGINAL_NODES Compute the marginal on the specified query nodes (gaussian)
% marginal = marginal_nodes(engine, query)
% Compute sum_{Hsum} Pr(Hkee
www.eeworm.com/read/396844/2407278
m find_mpe.m
function mpe = find_mpe(engine, evidence, varargin)
% FIND_MPE Find the most probable explanation of the data (belprop)
% function mpe = find_mpe(engine, evidence,...)
%
% evidence{i} = [] if X(i
www.eeworm.com/read/396844/2407304
m bethe_free_energy.m
function loglik = bethe_free_energy(engine, evidence)
% BETHE_FREE_ENERGY Compute Bethe free energy approximation to the log likelihood
% loglik = bethe_free_energy(engine, evidence)
%
% The Bethe fre
www.eeworm.com/read/396844/2407312
m marginal_nodes.m
function [marginal, loglik] = marginal_nodes(engine, query)
% MARGINAL_NODES Compute the marginal on the specified query nodes (var_elim)
% [marginal, loglik] = marginal_nodes(engine, query)
assert(l
www.eeworm.com/read/396844/2407320
m clq_containing_nodes.m
function c = clq_containing_nodes(engine, nodes, fam)
% CLQ_CONTAINING_NODES Find the lightest clique (if any) that contains the set of nodes
% c = clq_containing_nodes(engine, nodes, family)
%
%
www.eeworm.com/read/396844/2407391
m correct_smooth.m
function [marginal, msg, loglik] = smooth_evidence(engine, evidence)
% [marginal, msg, loglik] = smooth_evidence(engine, evidence) (pearl_dbn)
disp('warning: broken');
[ss T] = size(evidence);
bnet
www.eeworm.com/read/396844/2407641
m solve_limid.m
function [strategy, MEU, niter] = solve_limid(engine, varargin)
% SOLVE_LIMID Find the (locally) optimal strategy for a LIMID
% [strategy, MEU, niter] = solve_limid(inf_engine, ...)
%
% strategy{d} =
www.eeworm.com/read/393163/2488378
m marginal_nodes.m
function [m, pot] = marginal_nodes(engine, query)
% MARGINAL_NODES Compute the marginal on the specified nodes (jtree_limid)
% [m, pot] = marginal_nodes(engine, query)
%
% query should be a subset of
www.eeworm.com/read/393163/2488394
m marginal_nodes.m
function marginal = marginal_nodes(engine, nodes)
% MARGINAL_NODES Compute the marginal on the specified query nodes (likelihood_weighting)
% marginal = marginal_nodes(engine, nodes)
bnet = bnet_from
www.eeworm.com/read/393163/2488414
m find_mpe.m
function mpe = find_mpe(engine, evidence, varargin)
% FIND_MPE Find the most probable explanation of the data (belprop_fg)
% function mpe = find_mpe(engine, evidence,...)
%
% evidence{i} = [] if