filter_evidence.m
来自「贝叶斯网络matlab源程序,可用于分类,欢迎大家下载测试」· M 代码 · 共 49 行
M
49 行
function [fwd, loglik] = filter_evidence(engine, CPDpot, observed, pot_type)% [fwd, loglik] = filter_evidence(engine, CPDpot, observed, pot_type) (ff)[ss T] = size(CPDpot);fwd = cell(ss,T);hnodes = engine.hnodes(:)';onodes = engine.onodes(:)';bnet = bnet_from_engine(engine);ns = bnet.node_sizes;onodes2 = [onodes onodes+ss];ns(onodes2) = 1;logscale = zeros(1,T);H = length(hnodes);local_logscale = zeros(1,ss); t = 1;for i=hnodes fwd{i,t} = CPDpot{i,t}; c = engine.obschild(i); if c > 0 fwd{i,t} = multiply_by_pot(fwd{i,t}, CPDpot{c, t}); end [fwd{i,t}, local_logscale(i)] = normalize_pot(fwd{i,t});endlogscale(t) = sum(local_logscale);for t=2:T for i=hnodes ps = parents(bnet.dag, i+ss); assert(all(ps<=ss)); % in previous slice prior = CPDpot{i,t}; for p=ps(:)' prior = multiply_by_pot(prior, fwd{p,t-1}); end fwd{i,t} = marginalize_pot(prior, i+ss); fwd{i,t} = set_domain_pot(fwd{i,t}, i); c = engine.obschild(i); if c > 0 fwd{i,t} = multiply_by_pot(fwd{i,t}, CPDpot{c,t}); end [fwd{i,t}, local_logscale(i)] = normalize_pot(fwd{i,t}); end logscale(t) = sum(local_logscale);endloglik = sum(logscale);
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