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找到约 10,000 项符合「node」的源代码

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java node4enrolltime.java

package org.minjey.cjsjk.view.tree.node; import org.minjey.cjsjk.model.EnrollTime; public class Node4EnrollTime extends Node4ClassMajors { public Node4EnrollTime(EnrollTime userObject) { super(
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java node4root.java

package org.minjey.cjsjk.view.tree.node; import java.util.HashMap; public class Node4Root extends Node4ClassMajors { public Node4Root(String userObject) { super(userObject); super.buildChildNo
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java node4student.java

package org.minjey.cjsjk.view.tree.node; import org.minjey.cjsjk.model.Student; public class Node4Student extends Node4Leaves { public Node4Student(Student userObject) { super(userObject); } }
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java node4major.java

package org.minjey.cjsjk.view.tree.node; import java.util.HashMap; import org.minjey.cjsjk.model.Major; public class Node4Major extends Node4ClassLeaves { public Node4Major(Major userObject) {
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svn-base node.java.svn-base

/** * Copyright 2004-2008 陈乜云（非也,Chen Nieyun） * All rights reserved. * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public
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c cktinst2node.c

/* * Copyright (c) 1985 Thomas L. Quarles */ /* CKTinst2Node * get the name and node pointer for a node given a device it is * bound to and the terminal of the device. */ #incl
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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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