代码搜索:Probabilities
找到约 751 项符合「Probabilities」的源代码
代码结果 751
www.eeworm.com/read/430518/1927809
h histo.h
/* This file provides the bit-probabilities for the input file */
#define BIT_DIVIDER 629
static int bits[9] = { 179,167,183,165,159,198,178,119,}; /* ia32 .so files */
www.eeworm.com/read/398200/2385043
h histo.h
/* This file provides the bit-probabilities for the input file */
#define BIT_DIVIDER 629
static int bits[9] = { 179,167,183,165,159,198,178,119,}; /* ia32 .so files */
www.eeworm.com/read/386083/8765243
m comp_exam7_1.m
% Fig. 3-5; Bit error probabilities for binary signaling;
% a vector of correlation coefficients between signals is allowed
%
clf
R12 = input('Enter vector of desired R_1_2 values; maximum of 4 ')
www.eeworm.com/read/297233/8042456
c gcov.c
/* Gcov.c: prepend line execution counts and branch probabilities to a
source file.
Copyright (C) 1990, 91, 92, 93, 94, 96, 1997 Free Software Foundation, Inc.
Contributed by James E. Wilson
www.eeworm.com/read/408292/11398134
m adj_logistic.m
function y=adj_logistic(x)
%y=adj_logistic(x) computes probabilities for adjacent-categories logistic
%model
%for nd arrays, sum over dimension nd
%if only one vector, use row vector!
%if si
www.eeworm.com/read/396844/2407104
m mk_rnd_dag_given_edge_prob.m
function dag = sample_dag(P)
% SAMPLE_DAG Create a random directed acyclic graph with edge probabilities P(i,j)
% dag = sample_dag(P)
%
% This uses rejection sampling to reject graphs with directed cy
www.eeworm.com/read/387862/8650066
cpp modelorder0c.cpp
#include "ModelOrder0C.h"
ModelOrder0C::ModelOrder0C()
{
// initialize probabilities with 1
mTotal = 257; // 256 + escape symbol for termination
for( unsigned int i=0; i
www.eeworm.com/read/196836/8055238
m init_trans.m
function [P] = init_trans (K, av_dur, ns)
% function [P] = init_trans (K, av_dur, ns)
%
% Initialise state transition matrix to specified
% average state duration density. The remaining probabilities
www.eeworm.com/read/16731/685882
m init_trans.m
function [P] = init_trans (K, av_dur, ns)
% function [P] = init_trans (K, av_dur, ns)
%
% Initialise state transition matrix to specified
% average state duration density. The remaining probabilities
www.eeworm.com/read/288877/8596884
txt propose.m.txt
function q = Propose(p,m)
% q = Propose(p,m)
% propose q given state p and model m
% Colin Fox, 19 Jan 2003
ratio = [1 4 1 4]; % ratio of move probabilities
%moveprob = ratio/sum(ratio);
%mo