代码搜索:gaussian

找到约 7,040 项符合「gaussian」的源代码

代码结果 7,040
www.eeworm.com/read/292964/3937195

m log_marg_prob_node.m

function L = log_marg_prob_node(CPD, self_ev, pev) % LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (root_gaussian) % L = log_marg_prob_node(CPD, self_ev, pev) % % This differs
www.eeworm.com/read/434858/1868128

m log_marg_prob_node.m

function L = log_marg_prob_node(CPD, self_ev, pev) % LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (linear_gaussian) % L = log_marg_prob_node(CPD, self_ev, pev) % % This differ
www.eeworm.com/read/434858/1868133

m log_marg_prob_node.m

function L = log_marg_prob_node(CPD, self_ev, pev) % LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (root_gaussian) % L = log_marg_prob_node(CPD, self_ev, pev) % % This differs
www.eeworm.com/read/396844/2406981

m log_marg_prob_node.m

function L = log_marg_prob_node(CPD, self_ev, pev) % LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (linear_gaussian) % L = log_marg_prob_node(CPD, self_ev, pev) % % This differ
www.eeworm.com/read/396844/2406986

m log_marg_prob_node.m

function L = log_marg_prob_node(CPD, self_ev, pev) % LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (root_gaussian) % L = log_marg_prob_node(CPD, self_ev, pev) % % This differs
www.eeworm.com/read/393163/2488131

m log_marg_prob_node.m

function L = log_marg_prob_node(CPD, self_ev, pev) % LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (linear_gaussian) % L = log_marg_prob_node(CPD, self_ev, pev) % % This differ
www.eeworm.com/read/393163/2488142

m log_marg_prob_node.m

function L = log_marg_prob_node(CPD, self_ev, pev) % LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (root_gaussian) % L = log_marg_prob_node(CPD, self_ev, pev) % % This differs
www.eeworm.com/read/160391/5571373

m log_marg_prob_node.m

function L = log_marg_prob_node(CPD, self_ev, pev) % LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (linear_gaussian) % L = log_marg_prob_node(CPD, self_ev, pev) % % This di
www.eeworm.com/read/160391/5571378

m log_marg_prob_node.m

function L = log_marg_prob_node(CPD, self_ev, pev) % LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (root_gaussian) % L = log_marg_prob_node(CPD, self_ev, pev) % % This diff
www.eeworm.com/read/356171/10235544

m testgk.m

clear all; n1 = 200; n2 = 100; n = n1+n2; x = zeros(n,2); % generate Gaussian samples of class 1 randn('seed',13); % set seed x(1:n1,:) = ones(n1,1)*[3 3]+(ones(n1,1)*[1.7 0.5]).*randn(n