代码搜索：node
找到约 10,000 项符合「node」的源代码
代码结果 10,000
www.eeworm.com/read/214351/4908793
tpl login_node_list.tpl
{{include file="header.tpl"}}
登录节点
{{if 0 lt $SurplusNode}}
添加登录节点
www.eeworm.com/read/213708/4913355
tcl ns-mpls-node.tcl
# -*- Mode:tcl; tcl-indent-level:8; tab-width:8; indent-tabs-mode:t -*-
#
# Time-stamp:
#
# Copyright (c) 2000 by the University of Southern California
# All rights re
www.eeworm.com/read/208214/4994967
m node_red_init.m
function node_red_init(argument)
% Slave, gets reference from Base station
global xPos yPos xVel yVel Kx Ky
nodeID = argument;
% Initialize TrueTime kernel
ttInitKernel(4, 2, 'prioFP'); % nbrOfInp
www.eeworm.com/read/208214/4994969
m node_blue_init.m
function node_blue_init(argument)
% Slave, gets reference from Base station
global xPos yPos xVel yVel Kx Ky
nodeID = argument;
% Initialize TrueTime kernel
ttInitKernel(4, 2, 'prioFP'); % nbrOfIn
www.eeworm.com/read/206632/5005013
cpp node2d.cpp
/*
Copyright (c) 1995-2000 Microsoft Corporation. All rights reserved.
*/
#include "precomp.h"
Node2D::Node2D(
int width,
int height,
int x,
int y,
int align, // = 4
Node2D
www.eeworm.com/read/197905/5090829
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/197905/5091155
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
www.eeworm.com/read/197905/5091176
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/197905/5091183
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