代码搜索:node

找到约 10,000 项符合「node」的源代码

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www.eeworm.com/read/146056/5740576

in 2node-fail.sh.in

#!/bin/bash # # Copyright (C) 2004 Andrew Beekhof # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License #
www.eeworm.com/read/146056/5740577

sh 2node-fence.sh

#!/bin/bash # # Copyright (C) 2004 Andrew Beekhof # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License #
www.eeworm.com/read/140847/5779072

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;
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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
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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
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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
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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