代码搜索：node
找到约 10,000 项符合「node」的源代码
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cpp node_iterator3.cpp
// Copyright David Abrahams 2004. Use, modification and distribution is
// subject to the Boost Software License, Version 1.0. (See accompanying
// file LICENSE_1_0.txt or copy at http://www.boost.o
www.eeworm.com/read/215485/4903383
m scg_3node.m
% This example is from Page.143 of "Probabilistic Networks and Expert Systems",
% Cowell, Dawid, Lauritzen and Spiegelhalter, 1999, Springer.
X = 1; Y = 2; Z = 3;
n = 3;
dag = zeros(n);
dag(X, Y)=1;
www.eeworm.com/read/215485/4903709
m tabular_utility_node.m
function CPD = tabular_utility_node(bnet, node, T)
% TABULAR_UTILITY_NODE Represent a utility function as a table
% CPD = tabular_utility_node(bnet, node, T)
%
% node is the number of a node in this e
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m log_prob_node.m
function L = log_prob_node(CPD, self_ev, pev)
% LOG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m), theta_i) for node i (gaussian)
% L = log_prob_node(CPD, self_ev, pev)
%
% self_ev(m) is the eviden
www.eeworm.com/read/215485/4903737
m log_prob_node.m
function L = log_prob_node(CPD, self_ev, pev)
% LOG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m), theta_i) for node i (gaussian)
% L = log_prob_node(CPD, self_ev, pev)
%
% self_ev(m) is the eviden
www.eeworm.com/read/215485/4903769
m tabular_chance_node.m
function CPD = tabular_chance_node(sz, CPT)
% TABULAR_CHANCE_NODE Like tabular_CPD, but simplified
% CPD = tabular_chance_node(sz, CPT)
%
% sz(1:end-1) is the sizes of the parents, sz(end) is the size
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m log_prob_node.m
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)
% L = log_prob_node(CPD, self_ev, pev)
%
% self_ev(m) is the evidenc
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m log_prob_node.m
function L = log_prob_node(CPD, self_ev, pev)
% LOG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m), theta_i) for node i (root)
% L = log_prob_node(CPD, self_ev, pev)
%
% self_ev{m} is the evidence o
www.eeworm.com/read/215485/4903913
m tabular_decision_node.m
function CPD = tabular_decision_node(sz, CPT)
% TABULAR_DECISION_NODE Represent the randomized policy over a discrete decision/action node as a table
% CPD = tabular_decision_node(sz, CPT)
%
% sz(1:en
www.eeworm.com/read/215485/4903919
m tabular_decision_node.m
function CPD = tabular_decision_node(bnet, self, CPT)
% TABULAR_DECISION_NODE Represent a stochastic policy over a discrete decision/action node as a table
% CPD = tabular_decision_node(bnet, self, CP