源码文件
function T = convert_to_table(CPD, domain, evidence) % CONVERT_TO_TABLE Convert a softmax CPD to a table, incorporating any eviden…
evidence+theory 源代码
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源码文件
function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv) % UPDATE_ESS Update the Expected Sufficient Statistic…
源码文件
function pot = convert_to_pot(CPD, pot_type, domain, evidence) % CONVERT_TO_POT Convert a softmax CPD to a potential % pots = conv…
源码文件
function y = sample_node(CPD, pvals) % SAMPLE_NODE Draw a random sample from P(Xi | x(pi_i), theta_i) (discrete) % y = sample_nod…
源码文件
function [P, p] = prob_node(CPD, self_ev, pev) % PROB_NODE Compute prod_m P(x(i,m)| x(pi_i,m), theta_i) for node i (discrete) % [P…
源码文件
function L = log_prob_node(CPD, self_ev, pev) % LOG_PROB_NODE Compute sum_m log P(x(i,m)| x(pi_i,m), theta_i) for node i (discrete…
源码文件
function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence) % COMPUTE_PI Compute pi vector (discrete) % pi = compute_pi(CPD, m…
源码文件
function T = convert_to_table(CPD, domain, evidence) % CONVERT_TO_TABLE Convert a discrete CPD to a table % T = convert_to_table(C…
源码文件
function T = convert_to_table(CPD, domain, evidence) % CONVERT_TO_TABLE Convert a discrete CPD to a table % T = convert_to_table(C…
源码文件
function [P, p] = prob_node(CPD, self_ev, pev) % PROB_NODE Compute prod_m P(x(i,m)| x(pi_i,m), theta_i) for node i (discrete) % [P…