代码搜索:Inference

找到约 1,820 项符合「Inference」的源代码

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www.eeworm.com/read/251838/4414529

m discrete1.m

% Compare various inference engines on the following network (from Jensen (1996) p84 fig 4.17) % 1 % / | \ % 2 3 4 % | | | % 5 6 7 % \/ \/ % 8 9 % where all arcs point downwards N = 9;
www.eeworm.com/read/251838/4414567

m chmm1.m

% Compare the speeds of various inference engines on a coupled HMM N = 2; Q = 2; rand('state', 0); randn('state', 0); discrete = 1; if discrete Y = 2; % size of output alphabet else Y = 1; end co
www.eeworm.com/read/251838/4414665

m water2.m

% Compare the speeds of various inference engines on the water DBN seed = 0; rand('state', seed); randn('state', seed); bnet = mk_water_dbn; T = 3; engine = {}; engine{end+1} = smoother_e
www.eeworm.com/read/251838/4415059

m cond_gauss_inf_engine.m

function engine = cond_gauss_inf_engine(bnet) % COND_GAUSS_INF_ENGINE Conditional Gaussian inference engine % engine = cond_gauss_inf_engine(bnet) % % Enumerates all the discrete roots, and runs jtree
www.eeworm.com/read/251838/4415087

m belprop_fg_inf_engine.m

function engine = belprop_fg_inf_engine(fg, varargin) % BELPROP_FG_INF_ENGINE Make a belief propagation inference engine for factor graphs % engine = belprop_fg_inf_engine(factor_graph, ...) % % The
www.eeworm.com/read/251838/4415305

m hmm_inf_engine.m

function engine = hmm_inf_engine(bnet, varargin) % HMM_INF_ENGINE Inference engine for DBNs which uses the forwards-backwards algorithm. % engine = hmm_inf_engine(bnet, ...) % % The following optional
www.eeworm.com/read/251838/4415337

m jtree_dbn_inf_engine.m

function engine = jtree_dbn_inf_engine(bnet, varargin) % JTREE_DBN_INF_ENGINE Junction tree inference algorithm for DBNs. % engine = jtree_inf_engine(bnet, ...) % % The following optional arguments ca
www.eeworm.com/read/251522/4418810

m scg3.m

% Compare various inference engines on the following network (from Jensen (1996) p84 fig 4.17) % 1 % / | \ % 2 3 4 % | | | % 5 6 7 % \/ \/ % 8 9 % where all arcs point downwards N = 9;
www.eeworm.com/read/251522/4418885

m chmm1.m

% Compare the speeds of various inference engines on a coupled HMM N = 2; Q = 2; rand('state', 0); randn('state', 0); discrete = 1; if discrete Y = 2; % size of output alphabet else Y = 1; end co
www.eeworm.com/read/251522/4419033

m cond_gauss_inf_engine.m

function engine = cond_gauss_inf_engine(bnet) % COND_GAUSS_INF_ENGINE Conditional Gaussian inference engine % engine = cond_gauss_inf_engine(bnet) % % Enumerates all the discrete roots, and runs jtree